{ "count" : 21216, "data" : [ { "id" : "6a210c8b74d8ee00a0aef3d2", "title" : "Research Intern – Smartphone-Based Identification Systems", "company" : "Keenfinity", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 500.0, "max" : 600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Eindhoven, NB, Netherlands", "locations" : [ "Eindhoven", "NB", "Netherlands" ], "timestamp" : "2026-06-04T20:08:43.700", "fingerprint" : "47def399a65897683a9632921a073331df3d775bd5187e172b57bee0dfa0c373", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Keenfinity/744000129805539-research-intern-smartphone-based-identification-systems", "externalId" : "744000129805539", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Eindhoven", "state" : "North Brabant", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.4392648,5.4786330" } ], "locationText" : "Eindhoven, North Brabant, Netherlands", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "technicalSkills" : "NFC, Bluetooth Low Energy, Java, Kotlin, C/C++, Python, Android, iOS", "professionalSkills" : [ "System design", "User experience", "Data security", "Feasibility assessment" ], "hardSkillsList" : [ "Wireless communication", "Mobile app development", "System integration", "User experience evaluation", "Data security evaluation", "Feasibility assessment" ], "softSkillsList" : [ "Open attitude", "Proactive attitude", "Initiative", "Prioritize tasks", "Organization" ], "hardSkills" : [ { "name" : "Wireless communication", "level" : "intermediate" }, { "name" : "Mobile app development", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" }, { "name" : "User experience evaluation", "level" : "intermediate" }, { "name" : "Data security evaluation", "level" : "intermediate" }, { "name" : "Feasibility assessment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Open attitude" }, { "name" : "Proactive attitude" }, { "name" : "Initiative" }, { "name" : "Prioritize tasks" }, { "name" : "Organization" } ], "majorSkills" : "Smartphone identification systems, NFC, BLE, App authentication", "majorSkillsList" : [ "Smartphone identification systems", "NFC", "BLE", "App authentication" ], "coreResponsibilities" : "Analyze current NFC card solution, Uncover opportunities for improvement, Investigate smartphone-based approaches, Develop identification solution, Define integration into DICENTIS ecosystem, Evaluate concept performance, Assess solution against existing system, Highlight key benefits", "teamCollaboration" : "International team", "domainKnowledge" : "Security solutions; Communication solutions; NFC technology; Wireless communication; Mobile app development; Authentication systems; Embedded solutions", "domainList" : [ "security-solutions", "communication-solutions", "nfc-technology", "wireless-communication", "mobile-app-development", "authentication-systems", "embedded-solutions" ], "domainSpecificKnowledge" : [ "Security solutions", "Communication solutions", "NFC technology", "Wireless communication", "Mobile app development", "Authentication systems", "Embedded solutions" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Document findings", "innovationCreativity" : "Design innovative concepts; Develop future-proof identification solution", "problemSolvingSkills" : "Troubleshoot issues; Root cause analysis", "specialRequirements" : "Work from home one day per week", "outcomesObjectives" : "Improve identification process; Highlight key benefits; Highlight trade-offs; Highlight feasibility", "qualificationsBasic" : "Proficiency in English, Currently pursuing a degree in Computer Science or relevant, Basic programming skills (e.g. Java, Kotlin, C/C++, or Python), Genuinely interested in mobile app development (Android or iOS), Basic understanding of NFC or wireless communication technologies, Nationality of an EU member state or student at a Dutch university, Available for 6 months, Located in the Netherlands", "qualificationsPreferred" : "Enjoy working at the intersection of hardware and software, Curious about secure systems, authentication, and embedded solutions, Hands-on, proactive mindset, Enjoy building and testing Proof of Concepts, Able to work independently, Clearly document and communicate findings", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Keenfinity, we are a globally leading provider of innovative and professional security and communication solutions. With over 4,200 employees in over 50 countries worldwide, our ambition is clear: we offer more than just technology – we secure, connect, and amplify the moments that matter in life. Next to our passion for technology we’re very passionate about our work environment. Based on values such as trust, appreciation, and accountability we all work together to shape the future – boldly, customer-focused and with a strong team spirit. As a Research Intern, you will explore how smartphones can transform the way participants are identified in professional conference environments. You’ll work on a forward-looking topic that combines user experience, security, and system design. * Rethink identification – Analyze the current NFC card solution and uncover opportunities for improvement * Explore new technologies – Investigate smartphone-based approaches such as NFC, Bluetooth Low Energy (BLE), and app-based authentication * Design innovative concepts – Develop a future-proof identification solution and define how it integrates into the Bosch DICENTIS ecosystem * Balance usability & security – Evaluate how your concept performs in terms of user experience, reliability, and data security * Make data-driven comparisons – Assess your solution against the existing system and highlight key benefits, trade-offs, and feasibility ## Qualifications Requirements: We are looking for a student who demonstrates an open and proactive attitude, with a strong ability to take initiative. You should be able to prioritize multiple tasks effectively and maintain a high level of organization. The ideal candidate will also possess the following qualifications: * Proficiency in English, both verbal and written; Proficiency in Dutch is not a requirement * Currently pursuing a degree in Computer Science or relevant * You have basic programming skills (e.g. Java, Kotlin, C/C++, or Python) * You’re genuinely interested in mobile app development (Android or iOS) * You bring a basic understanding of NFC or wireless communication technologies * You have a nationality of an EU member state or if not, you are a student at a Dutch university * You must be available for 6 months * You are located in the Netherlands and preferably reside within reasonable travel distance from Eindhoven What distinguishes you: * You enjoy working at the intersection of hardware and software * You’re curious about secure systems, authentication, and embedded solutions * You have a hands-on, proactive mindset and enjoy building and testing Proof of Concepts * You’re able to work independently and can clearly document and communicate your findings ## Additional Information \uD83D\uDCBC What We Offer: * A hands-on internship in an international team. * Close guidance from experienced professionals. * A dynamic role where your input and ideas are appreciated. * The option to work from home one day per week. * An internship allowance between €500 and €600 per month (based on full-time employment). \uD83D\uDCDD Application process: * Interested? Hit the apply button! * Phone meeting with a Keenfinity campus recruiter; * Interview via Microsoft Teams with team members; * Contract offers from Keenfinity. \uD83C\uDF31 Join us at KEENFINITY! At Keenfinity we don’t just build innovative solutions — we shape a smarter, more connected world through technology. We value different backgrounds, ideas, and experiences and we’re committed to growing, learning, and celebrating success as one team. Everyone is welcome here — we foster an environment where everyone is respected, valued, and encouraged to be their authentic self. Keenfinity is an equal opportunity employer, offering equal opportunities for all. We welcome applications from people with disabilities and can offer support, if needed. When everyone has a chance to contribute, we all do better.", "summaryDescription" : "Research Intern – Smartphone-Based Identification Systems at Keenfinity. Skills: Smartphone identification systems, NFC, BLE, App authentication. Analyze current NFC card solution. Uncover opportunities for improvement", "postedDate" : "2026-06-02T15:50:57.000", "createdAt" : "2026-06-04T09:16:23.349", "lastUpdated" : "2026-06-04T20:08:43.700", "ingestTimestamp" : "2026-06-04T09:16:23.349", "mongoId" : "6a210c8b74d8ee00a0aef3d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Wireless communication", "Mobile app development", "System integration", "User experience evaluation", "Data security evaluation", "Feasibility assessment", "Open attitude", "Proactive attitude", "Initiative", "Prioritize tasks", "Organization", "Smartphone identification systems", "NFC", "BLE", "App authentication", "System design", "User experience", "Data security", "Security solutions", "Communication solutions", "NFC technology", "Authentication systems", "Embedded solutions" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 1047.1157, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Security and Communication Solutions" }, { "id" : "6a2ac3bf74d8ee00a06fb6a6", "title" : "Research and Development Intern", "company" : "AMAROK", "industry" : "Security Technology", "salary" : { "min" : 15.0, "max" : 19.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Columbia, South Carolina, United States", "locations" : [ "Columbia", "South Carolina", "United States" ], "timestamp" : "2026-06-14T20:33:48.829", "fingerprint" : "a2366b18ddbafcb69f173f431bdd5ec8cc987e42ed4ec8185f9406cb55187454", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/amarok/jobs/6018661004", "externalId" : "6018661004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbia", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0007540,-81.0352313" } ], "locationText" : "Columbia, South Carolina, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Radio systems, Terminal blocks, Energizers, Power systems, Networking, Integration technologies", "professionalSkills" : [ "Product innovation", "Product development", "Product testing", "Failure analysis" ], "hardSkillsList" : [ "Technical documentation", "Test procedures", "Test results", "Hardware debugging", "Software debugging", "Performance testing", "Reliability checks", "Failure analysis", "Data interpretation" ], "hardSkills" : [ { "name" : "Technical documentation", "level" : "intermediate" }, { "name" : "Test procedures", "level" : "intermediate" }, { "name" : "Test results", "level" : "intermediate" }, { "name" : "Hardware debugging", "level" : "intermediate" }, { "name" : "Software debugging", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Reliability checks", "level" : "intermediate" }, { "name" : "Failure analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "majorSkills" : "Product development, Product testing, Technical documentation", "majorSkillsList" : [ "Product development", "Product testing", "Technical documentation" ], "coreResponsibilities" : "Assist engineers in assembling prototypes, Assist engineers in testing prototypes, Assist engineers in assembling systems, Assist engineers in testing systems, Document test procedures, Document test results, Document modifications, Support troubleshooting efforts, Support debugging efforts, Participate in performance testing, Participate in reliability checks, Participate in failure analysis, Record test data, Organize test data, Maintain lab equipment, Maintain inventory of prototype components, Maintain testing tools, Create technical documentation, Update technical documentation, Communicate findings, Communicate roadblocks, Communicate questions, Update design logs, Update development records, Engage with cross-departmental teams, Observe team meetings, Participate in team meetings", "teamCollaboration" : "Cross-departmental teams; Engineering team; Product teams; Manufacturing teams; Quality teams; Team meetings", "domainKnowledge" : "Perimeter security; Industrial security technologies; Radio systems; Terminal blocks; Energizers; Power systems; Networking; Integration technologies", "domainList" : [ "perimeter-security", "industrial-security-technologies", "radio-systems", "terminal-blocks", "energizers", "power-systems", "networking", "integration-technologies" ], "domainSpecificKnowledge" : [ "Perimeter security", "Industrial security technologies", "Radio systems", "Terminal blocks", "Energizers", "Power systems", "Networking", "Integration technologies" ], "communicationSkills" : "Technical communication; Clear communication; Effective communication", "documentationSkills" : "Technical documentation; Test reports; Build instructions; Part specifications; Design logs; Development records", "continuousLearning" : "Gain exposure to real-world product development; Gain exposure to real-world testing processes", "innovationCreativity" : "Product innovation; Next-generation technologies", "problemSolvingSkills" : "Troubleshooting; Debugging; Failure analysis", "qualificationsBasic" : "Hands-on experience in product innovation, Passion for engineering, Desire to gain exposure to real-world product development, Desire to gain exposure to real-world testing processes", "qualificationsPreferred" : "Quick learner, Communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Information Recognized as one of the Best Places to Work in South Carolina, AMAROK is the Ultimate Perimeter Security solution. Our unique multi-layered perimeter security system reliably stops theft and other criminal activity by guarding our customers’ property and assets 24/7/365. More than 9,000 commercial and industrial properties across North America trust The Electric Guard Dog™ to keep their assets secure. Summary The Research and Development (R&D) Intern will support AMAROK’s R&D Engineering team in developing, testing, and documenting next-generation industrial security technologies. Reporting to a member of the R&D Engineering team, this role offers hands-on experience in product innovation and development. The intern will assist in building prototypes, executing tests, documenting technical findings, and supporting ongoing engineering projects related to radio systems, terminal blocks, energizers, power systems, networking, and integration technologies. This position is ideal for a quick learner with a passion for engineering, strong communication skills, and a desire to gain exposure to real-world product development and testing processes. This is an on-site, part-time internship with flexible scheduling around academic calendars. Hourly Compensation Range: $15.00-$19.00. Compensation is determined based on competitive market data, experience, skillset and geographical location. Essential Duties and Responsibilities: R&D Project Support Assist engineers in assembling and testing prototypes and systems related to AMAROK’s security technology solutions. Document test procedures, results, and modifications in technical formats for engineering use. Support troubleshooting and debugging efforts across hardware and software components. Product Testing & Validation Participate in performance testing, reliability checks, and failure analysis of in-development components. Record and organize test data, helping engineers interpret results and identify opportunities for improvement. Maintain lab equipment, inventory of prototype components, and testing tools. Documentation & Technical Communication Create and update technical documentation including test reports, build instructions, and part specifications. Communicate findings, roadblocks, and questions to the engineering team clearly and effectively. Work collaboratively with team members to update design logs and development records. Collaboration & Communication Occasionally engage with cross-departmental teams (such as Product, Manufacturing, or Quality) to understand downstream impacts of engineering decisions. Observe and participate in team meetings, gaining insight into project planning, prioritization, and coordination across the business See what our employees have to say about working for AMAROK! https://www.glassdoor.com/Reviews/AMAROK-Reviews-E603124.htm Our recruiting experience is digital! AMAROK is an EEO/Affirmative Action Employer and will make all employment related decisions without regard to age, race, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. Once you submit your application, AMAROK will process the provided personal data to evaluate your candidacy for employment. For details regarding how your personal data will be used during an interview process, and to understand our commitment to keeping your personal data safe, please review our Data Privacy Policy here – https://amarok.com/privacy-policy/", "summaryDescription" : "Research and Development Intern at AMAROK. Skills: Product development, Product testing, Technical documentation. Assist engineers in assembling prototypes. Assist engineers in testing prototypes", "postedDate" : "2026-06-11T21:41:03.761", "createdAt" : "2026-06-11T21:41:03.761", "lastUpdated" : "2026-06-14T20:33:48.829", "ingestTimestamp" : "2026-06-11T21:41:03.761", "mongoId" : "6a2ac3bf74d8ee00a06fb6a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryAnnualMax" : 39520, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Technical documentation", "Test procedures", "Test results", "Hardware debugging", "Software debugging", "Performance testing", "Reliability checks", "Failure analysis", "Data interpretation", "Product development", "Product testing", "Product innovation", "Perimeter security", "Industrial security technologies", "Radio systems", "Terminal blocks", "Energizers", "Power systems", "Networking", "Integration technologies" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "research-development", "dataQualityScore" : 1.0, "_score" : 883.8874, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Security Technology" }, { "id" : "6a2abe9674d8ee00a06edaa3", "title" : "Pediatric Research Intern", "company" : "Corewell Health", "industry" : "Healthcare", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Pediatric Research Intern in Grand Rapids, United States, adjusted for the healthcare industry." }, "location" : "Grand Rapids, MI", "locations" : [ "Grand Rapids, MI", "United States of America" ], "timestamp" : "2026-06-14T23:26:57.778", "fingerprint" : "1d349e8373ded01a940819513b4e6efb187923f541930cb090de41f8017da55f", "source" : "workday", "language" : "en", "applyUrl" : "https://spectrumhealth.wd5.myworkdayjobs.com/CorewellHealthCareers/job/Grand-Rapids-MI/Pediatric-Research-Intern_R216844", "externalId" : "R216844", "industryFunction" : { }, "locationPoint" : "41.412,-83.86439", "structuredLocations" : [ { "city" : "Grand Rapids", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.9632425,-85.6678639" } ], "locationText" : "Grand Rapids, Michigan, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "coreResponsibilities" : "Maintain accountability for completing support tasks, Maintain clear and appropriate documentation, Analyze department processes, Make recommendations for improvements, Participate in quality monitoring activities, Participate in process improvement activities", "teamCollaboration" : "Team member; Collaborates with others", "documentationSkills" : "Documentation of actions taken", "problemSolvingSkills" : "Analyze department processes", "qualificationsBasic" : "Currently enrolled in high school, Graduated from high school, Enrolled in university pursuing associate or bachelor’s degree, Recent graduate from associate or bachelor’s degree program", "qualificationsPreferred" : "High School Diploma or equivalent", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Job Summary Performs support tasks for department, as directed, and maintains clear and appropriate documentation. Acts as a team member and assists the team in improving processes. ## Essential Functions * Maintains accountability for completing support tasks as directed. * Maintains clear and appropriate documentation of actions taken. * May analyzes department processes and other Corewell Health systems encountered and makes recommendations improvements, as appropriate. Participates in quality monitoring activities/process improvement activities. * Communicates, collaborates, and acts as a team player with others in order to ensure continuity and coordination of services. ## Qualifications Preferred * High School Diploma or equivalent * Currently enrolled in high school or have graduated from high school or are enrolled in a university pursuing an associate or bachelor’s degree in the area of accountability. May also be a recent graduate from an associate or bachelor’s degree program. ## About Corewell Health As a team member at Corewell Health, you will play an essential role in delivering personalized health care to our patients, members and our communities. We are committed to cultivating and investing in YOU. Our top-notch teams are comprised of collaborators, leaders and innovators that continue to build on one shared mission statement - to improve health, instill humanity and inspire hope. Join a nationally recognized health system with an ambitious vision of continued advancement and excellence. ## How Corewell Health cares for you * Comprehensive benefits package to meet your financial, health, and work/life balance goals. Learn more [here](https://careers.corewellhealth.org/us/en/benefits-new). * On-demand pay program powered by Payactiv * Discounts directory with deals on the things that matter to you, like restaurants, phone plans, spas, and more! * Optional identity theft protection, home and auto insurance * Traditional and Roth retirement options with service contribution and match savings * Eligibility for benefits is determined by employment type and status **Primary Location** SITE - Secchia Center - 15 Michigan St NE - Grand Rapids **Department Name** Sponsored Programs Research Clinical Operations HDVCH - Grand Rapids Hosp **Employment Type** Full time **Shift** Day (United States of America) **Weekly Scheduled Hours** 40 **Hours of Work** 8:00 a.m. - 4:30 p.m. **Days Worked** Monday - Friday **Weekend Frequency** N/A ********CURRENT COREWELL HEALTH TEAM MEMBERS – Please apply through Find Jobs from your Workday team member account. This career site is for Non-Corewell Health team members only.******** _Corewell Health is committed to providing a safe environment for our team members, patients, visitors, and community. We require a drug-free workplace and require team members to comply with the MMR, Varicella, Tdap, and Influenza vaccine requirement if in an on-site or hybrid workplace category. We are committed to supporting prospective team members who require reasonable accommodations to participate in the job application process, to perform the essential functions of a job, or to enjoy equal benefits and privileges of employment due to a disability, pregnancy, or sincerely held religious belief._ _Corewell Health grants equal employment opportunity to all qualified persons without regard to race, color, national origin, sex, disability, age, religion, genetic information, marital status, height, weight, gender, pregnancy, sexual orientation, gender identity or expression, veteran status, or any other legally protected category._ _An interconnected, collaborative culture where all are encouraged to bring their whole selves to work, is vital to the health of our organization. As a health system, we advocate for equity as we care for our patients, our communities, and each other. From workshops that develop cultural intelligence, to our inclusion resource groups for people to find community and empowerment at work, we are dedicated to ongoing resources that advance our values of diversity, equity, and inclusion in all that we do. We invite those that share in our commitment to join our team._ _You may request assistance in completing the application process by calling 616.486.7447._", "summaryDescription" : "Pediatric Research Intern at Corewell Health. Maintain accountability for completing support tasks. Maintain clear and appropriate documentation", "postedDate" : "2026-06-11T02:43:58.280", "createdAt" : "2026-06-12T02:43:58.230", "lastUpdated" : "2026-06-14T23:26:57.778", "ingestTimestamp" : "2026-06-12T02:43:58.230", "mongoId" : "6a2abe9674d8ee00a06edaa3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://spectrumhealth.wd5.myworkdayjobs.com/CorewellHealthCareers/job/Grand-Rapids-MI/Pediatric-Research-Intern_R216844", "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "other", "seniorityLevel" : "junior", "dataQualityScore" : 0.7777778, "_score" : 867.3024, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2a91b474d8ee00a068ec60", "title" : "Competitive Analysis Research Intern", "company" : "Per Scholas", "salary" : { "min" : 300000.0, "max" : 600000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an entry-level internship in the education sector, adjusted for the company's size and the remote work mode." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-14T20:05:16.636", "fingerprint" : "35540e70d7e426fb0d971d7fc302bf62467e884c7bed30fc1fd40839f4ec0e54", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/perscholashires/jobs/4684962006", "externalId" : "4684962006", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AI prompting", "professionalSkills" : [ "Market intelligence", "Competitive analysis", "Product positioning", "Pricing analysis", "Workforce development" ], "hardSkillsList" : [ "Competitive Positioning", "Pricing Analysis" ], "hardSkills" : [ { "name" : "Competitive Positioning", "level" : "intermediate" }, { "name" : "Pricing Analysis", "level" : "intermediate" } ], "majorSkills" : "Competitive analysis, Market research, Labor market trends", "majorSkillsList" : [ "Competitive analysis", "Market research", "Labor market trends" ], "coreResponsibilities" : "Conduct skilled trades market research, Analyze competitive landscape for infrastructure talent, Identify direct training competitors, Map employer hiring locations, Provide positioning recommendations, Research pricing models, Analyze value proposition", "domainKnowledge" : "Skilled trades; Infrastructure talent; Workforce development; Earned revenue products", "domainList" : [ "skilled-trades", "infrastructure-talent", "workforce-development", "earned-revenue-products" ], "domainSpecificKnowledge" : [ "Skilled trades", "Infrastructure talent", "Workforce development", "Earned revenue products" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Data analysis", "qualificationsBasic" : "Proficiency in research methodologies, Proficiency in data analysis, Ability to utilize AI prompting, Bias toward learning and inquiry, Ability to identify the \"so what?\" in complex data, Excitement to learn about workforce development", "qualificationsPreferred" : "Undergraduate student interest in competitive landscape mapping, Undergraduate student interest in labor market-driven training trends, Undergraduate student interest in product positioning", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT PER SCHOLAS: For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting PerScholas.org and follow us on LinkedIn, X, Facebook, Instagram, and YouTube. Per Scholas preferred hires reside within the following states: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA Competitive Analysis Research Intern Job Title: Competitive Analysis Research Intern (Internship; Part-Time) Location: Remote Duration: 3 months, with possibility of extension Compensation: Unpaid Hours: Flexible scheduling up to 15 hours per week Position Summary: We are seeking a motivated, detail-oriented Competitive Analysis Research Intern to support strategic growth and market intelligence projects. This role is ideal for an undergraduate student interested in gaining hands-on experience with competitive landscape mapping, labor market-driven training trends, and product positioning in the non-traditional educational and workforce development sectors. The intern will play a key role in analyzing Per Scholas's competitive edge in emerging technical fields and evaluating the market relevance of our earned revenue products. Key Responsibilities: Skilled Trades Market Research: Conduct a deep-dive analysis into the competitive landscape for infrastructure talent development within specific industries (e.g., Data Centers, advanced manufacturing, semiconductor) both on a national level and within specific geographic areas. Identify major direct training competitors and map where employers are currently hiring talent for these roles. Competitive Positioning: Provide recommendations on how Per Scholas should position its training offerings to remain competitive against alternative providers in the skilled trades and infrastructure sectors to both learners and employers. Pricing Analysis: Research and compare pricing models for earned revenue products, including customized training and upskilling courses. Analyze how Per Scholas's value proposition compares to market alternatives. Primary alternative backgrounds eligible when the required skills have been obtained without a degree Excellent written and verbal communication skills. Strong organizational skills and meticulous attention to detail. Self-motivated with the ability to work independently in a remote environment. Proficiency in research methodologies and data analysis. Ability to utilize AI prompting to enhance research efficiency and synthesis. A strong bias toward learning and inquiry, with an ability to identify the \"so what?\" in complex data. Excitement to learn about and contribute to the field of workforce development. How to Apply: Please submit your resume and a brief cover letter outlining your interest in workforce development and relevant research experience.. Benefits & Perks Per Scholas offers a comprehensive benefits package designed to support your health, financial well-being, and overall quality of life! Holidays & PTO: Full-Time Per Scholas team members enjoy over 40 days of paid time off each year through a mix of holidays, vacation, and sick/personal time! All employees are eligible for Holiday pay upon hire (a total of 22 holidays annually, including a week off for Independence day and a week before the New Year). Full-Time Benefits Eligible employees also receive 80 Wellness Hours to use for Sick, Safe, or Personal reasons and accrue Vacation at a rate of 8 hours at the beginning of every month, supporting rest, recharge, and work-life balance. Vacation accruals increase with tenure. Part-time employees are afforded time off on a prorated basis and in accordance with local requirements. Comprehensive Medical Coverage: Benefit eligible employees can choose from multiple medical plans through Cigna or Kaiser Permanente (where available), with options to fit your needs. Eligible employees also have access to a Health Reimbursement Account (HRA) that reimburses eligible out-of-pocket expenses, up to $4,000 for individuals and $8,000 for families. Dental and Vision Insurance: Eligible employees can select from two dental plan options and a vision plan. Employees who waive medical coverage receive employer paid dental and vision premiums. Retirement Savings: 401(k) plan with a current 100% employer match on contributions up to 6%, eligible employees are offered entry and full vesting after 90 days with the company. Employee Assistance Program (EAP): Free, confidential, 24/7 access to counseling, legal support, and financial resources for employees and their household members Parental Leave: Eligible employees are offered up to 6 weeks of 100% paid parental leave to support employees as they welcome a new child and bond with their family. Additional Benefits & Perks: Eligible employees have access to employer-paid life and AD&D Insurance, as well as employer-paid short-term disability coverage, with the option to elect additional life coverage and long-term disability insurance. Flexible Spending accounts are available for healthcare, dependent care, and commuting expenses. Per Scholas also offers a range of voluntary benefits, including: Accident, Critical Illness, Hospital Indemnity, Legal Services, and Pet Insurance. Additional resources include healthcare concierge support, financial wellness tools, and employee discount programs. QUESTIONS? If you have any questions about this role, please feel free to email our Talent team at jobs@perscholas.org. We look forward to viewing your application! Equal Employment Opportunity We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin. PII Policies Non-Discrimination Policy", "summaryDescription" : "Competitive Analysis Research Intern at Per Scholas. Skills: Competitive analysis, Market research, Labor market trends. Conduct skilled trades market research. 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Gathers and analyzes data, prepares reports, and performs administrative tasks. Must be able to work a flexible schedule with occasional after hours support. **Job Description:** **Essential Functions:** * Obtains supplies and equipment needed for research projects and ensures they in proper working condition. * Assists in laboratory analysis and data interpretation. * Assists in the preparation and drafting of research proposals and reports, collecting and collating supporting data. * Organizes and maintains laboratory records. * Maintains clean laboratory area and equipment. * Follows all safety protocols and procedures. **Education Requirement:** Enrollment in High School or an accredited undergraduate, graduate, or doctorate program, preferred. **Licensure Requirement:** (not specified) **Certifications:** (not specified) **Skills:** Interpersonal, presentation, and communication skills to interact efficiently with various audiences. **Experience:** (not specified) **Physical Requirements:** OCCASIONALLY: Bend/twist, Biohazard waste, Chemicals/Medications, Climb stairs/ladder, Cold Temperatures, Fume /Gases /Vapors, Hot Temperatures, Lifting / Carrying: 11-20 lbs, Pushing / Pulling: 41-60 lbs, Pushing / Pulling: 61-100 lbs FREQUENTLY: Computer skills, Lifting / Carrying: 0-10 lbs, Pushing / Pulling: 0-25 lbs, Pushing / Pulling: 26-40 lbs, Standing, Walking CONTINUOUSLY: Audible speech, Color vision, Decision Making, Depth perception, Flexing/extending of neck, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Reaching above shoulder, Repetitive hand/arm use, Seeing – Far/near, Sitting, Squat/kneel **Additional Physical Requirements performed but not listed above:** (not specified) \"The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet\"", "summaryDescription" : "Research Intern. Skills: Data gathering, Data analysis, Report preparation. Obtain supplies and equipment. Ensure equipment in proper working condition", "postedDate" : "2026-06-09T10:16:49.426", "createdAt" : "2026-06-11T10:16:48.978", "lastUpdated" : "2026-06-12T07:47:59.390", "ingestTimestamp" : "2026-06-11T10:16:48.978", "mongoId" : "6a25bf3e74d8ee00a01c4c2f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nationwidechildrens.wd5.myworkdayjobs.com/NCHCareers/job/Main-Campus-Columbus-OH/Research-Intern_R-26191-1", "salaryAnnualMin" : 35000, "salaryAnnualMax" : 50000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Laboratory analysis", "Research proposals", "Research reports", "Interpersonal skills", "Presentation skills", "Communication skills", "Data gathering", "Data analysis", "Report preparation", "Research studies", "Research projects" ], "skillCount" : 12, "jobCategory" : "other", "seniorityLevel" : "junior", "dataQualityScore" : 0.8888889, "_score" : 844.2237, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a532a74d8ee00a05fd18d", "title" : "BioTrade Africa and Research Intern", "company" : "African Leadership University", "location" : "ALU ", "locations" : [ "ALU" ], "timestamp" : "2026-06-13T04:37:03.462", "fingerprint" : "d0f2869f64772c6c8d7b5f64cb7bb57272406d4d897317235e48afe094050c9b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/aluinternalopenings/jobs/7988987", "externalId" : "7988987", "industryFunction" : { }, "structuredLocations" : [ { "city" : "alu", "state" : "raplamaa", "country" : "Estonia", "continent" : "europe", "source" : "locations-index", "geo" : "59.0225,24.76083" } ], "locationText" : "ALU ", "employmentType" : "PART_TIME", "technicalSkills" : "Google Workspace, Website development, Social media platforms", "professionalSkills" : [ "Digital presence", "Organizational visibility", "Communications", "Marketing", "Digital coordination", "Graphic design", "Content preparation", "Data collection", "Data collation", "Data analysis", "Reporting" ], "hardSkillsList" : [ "Basic graphic design", "Website management", "Content preparation" ], "hardSkills" : [ { "name" : "Basic graphic design", "level" : "intermediate" }, { "name" : "Website management", "level" : "intermediate" }, { "name" : "Content preparation", "level" : "intermediate" } ], "majorSkills" : "Communications, Digital presence, Research, Conservation, BioTrade", "majorSkillsList" : [ "Communications", "Digital presence", "Research", "Conservation", "BioTrade" ], "coreResponsibilities" : "Support BioTrade Africa Steering Committee, Support BioTrade Africa Secretariat, Assist with communications, Assist with marketing, Assist with digital coordination, Assist with development and maintenance of BioTrade Africa, Support setup and management of social media platforms, Assist with development of digital communication, Assist with development of marketing, Support development of Steering Committee profiles, Support development of member profiles, Assist with organizing shared digital resources, Assist with organizing shared content, Support communications related to meetings, Support communications related to events, Support communications related to stakeholder engagement, Assist with basic graphic design, Assist with content preparation for social media, Assist with content preparation for outreach, Support SOWC team in collecting data, Support SOWC team in collating data, Support SOWC team in analysing data, Support SOWC team in reporting data, Report on data from African countries, Report on data from databases, Report on data from literature", "teamCollaboration" : "Work closely together; Work closely with BioTrade Africa Secretariat; Work closely with SOWC Research Team", "domainKnowledge" : "Wildlife economy; BioTrade; Biodiversity; Conservation; Sustainability; Environmental issues", "domainList" : [ "wildlife-economy", "biotrade", "biodiversity", "conservation", "sustainability", "environmental-issues" ], "domainSpecificKnowledge" : [ "Wildlife economy", "BioTrade", "Biodiversity", "Conservation", "Sustainability", "Environmental issues" ], "toolProficiency" : [ "Google Docs", "Google Sheets", "Google Drive" ], "communicationSkills" : "Written English; Spoken English; Editing; French; Portuguese", "continuousLearning" : "Communications; Stakeholder engagement; Website development; Digital platform management; Social media strategy; International conservation; BioTrade sector; Professional coordination; Organisational support; Data collection; Data collation; Data analysis; Reporting; Presenting; Wildlife economy; Data gaps", "qualificationsBasic" : "Excellent communication skills, Editing skills, Attention to detail, Ability to work independently", "qualificationsPreferred" : "Excellent communication skills in French, Excellent communication skills in Portuguese, Basic website development, Website management, Familiarity with social media platforms, Basic graphic design skills, Interest in conservation, Interest in biodiversity, Interest in BioTrade, Interest in sustainability, Interest in environmental issues", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT ALU ALU provides higher education for a higher purpose. Our students declare missions, not majors.They develop the real-world skills to take on the world’s most pressing challenges. And they take ownership of their learning from day one through our peer and student-led approach – because ALU believes in the power and agency of young people to start shaping the future right now. Together with a world-class faculty and staff, our students are igniting a ripple of positive impact across Africa and the world. We are dedicated to fostering an open yet secure environment, balancing the safety of students, staff, and visitors with respect for individual rights, and safeguarding responsibilities. HOW WE WORK The ALU Team works in starkly different ways to traditional academic bureaucracies. We approach education from first principles, empower individuals to design, test, and implement creative new ideas, and work closely together to craft transformative learning experiences. We are deeply passionate about our students and excited by the challenge of building something entirely new. The African Leadership University is committed to ensuring the safety and Well-being of all students under our care. As part of this commitment , we have a comprehensive safeguarding policy in place , which outlines our Zero-tolerance approach to any violation of safeguarding. ROLE OVERVIEW The School of Wildlife Conservation (SOWC) at the African Leadership University (ALU) is supporting research on the scale, potential, and regulatory frameworks of the wildlife economy across Africa, including the development of country case studies. SOWC also serves as the Secretariat for the African BioTrade Advisory Group (BioTrade Africa), a multi-stakeholder initiative advancing sustainable BioTrade and biodiversity-based value chains across Africa. BioTrade Africa is seeking a part-time intern to support communications, digital presence, research, and organisational visibility, while gaining practical experience in the conservation and BioTrade sector. Nature and scope of work: The intern will support the BioTrade Africa Steering Committee and Secretariat with communications, marketing, and digital coordination activities. Responsibilities include: Assisting with the development and maintenance of the BioTrade Africa website; Supporting the setup and management of social media platforms, including LinkedIn and Instagram; Assisting with the development of digital communication and marketing materials; Supporting the development of Steering Committee and member profiles for the website and promotional purposes; Assisting with organising and maintaining shared digital resources and content libraries; Supporting all communications related to meetings, events, and stakeholder engagement activities; Assisting with basic graphic design and content preparation for social media and outreach purposes; The research intern will also support the SOWC team in collecting, collating, analysing, and reporting on data from various African countries, databases, and literature to be included in the relevant country case studies and related reports The intern will report directly to Leigh-Ann Kant and work closely with the BioTrade Africa Secretariat and the SOWC Research Team. Skills: Strong organisational and communication skills; Excellent communication skills: written and spoken English skills, as well as editing skills; Excellent communication skills in French and/or Portuguese would be an added advantage; Proficiency in Google Workspace (Docs, Sheets, Drive); Basic website development or website management skills; Familiarity with social media platforms and digital marketing; Attention to detail and good time management; Ability to work independently and remotely; Basic graphic design skills, for example, Canva; Interest or background in conservation, biodiversity, BioTrade, sustainability, or environmental issues would be advantageous. Skill development plan: The intern will gain practical experience in: Communications and stakeholder engagement; Website development and digital platform management; Social media strategy and marketing; Working within international conservation and BioTrade networks; Professional coordination and organisational support within a growing Africa-wide initiative. Data collection, collation, analysis, reporting and presenting, as well as a greater understanding of the wildlife economy in Africa and the related data and information gaps. These are the appointment dates: Start Date:01 July 2026 End Date: 30 November 2026 Deadline: Midnight CAT on Wednesday, 20th June 2026 (no late applications will be accepted) Number of vacancies: 1 part-time intern Working time: Part-time (20 hours a week) Application instruction: A short CV; A brief motivation letter outlining your interest in the role; Examples of any relevant communications, social media, website, or design work (if available).", "summaryDescription" : "BioTrade Africa and Research Intern at African Leadership University. Skills: Communications, Digital presence, Research, Conservation, BioTrade. Support BioTrade Africa Steering Committee. 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Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga's Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. About the role As an IT Support intern you will gain experience and knowledge about how an IT team operates within a business. You’ll have the opportunity to work with all kinds of stakeholders from various areas within the organisation; both technical and non-technical. You will gain knowledge on the employee lifecycle from the perspective of a support function of an organisation and how we impact overall productivity. This role is for a fixed term of 6 months with the possibility of being hired as a full-time employee. What you will do / be involved in: End-user Support: Serve as first point of contact for technical support, managing and resolving day-to-day IT issues Coordinate with senior team members for complex problem resolution Document solutions and share knowledge with end-users Device Management and Lifecycle: Execute end-to-end laptop provisioning and configuration Manage hardware logistics and inventory tracking Handle employee technology onboarding, including account creation and system setup Coordinate equipment returns and account closures during offboarding Maintain accurate documentation of all processes What you’ll bring to the role: Enrolled in a Dutch University for the duration of your internship Good communication skills - verbal and written Positive customer service skills with the ability to make people feel validated Willingness to support where needed Curious mindset and willingness to to learn new things Ability to ask questions when to get a better understanding Willingness to share information and teach people how issues were resolved Hands on approach to tasks Detail oriented in all things you do Basic technical skills / understanding of technical terms Ability to find information to help troubleshoot technical issues Knowledge or previous experience of using Apple laptops Fluent in English - Dutch & additional languages are a plus Where you’ll be: The role is based in Amsterdam, The Netherlands. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us. We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion”. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles.", "summaryDescription" : "IT Systems & Services Intern at Catawiki. Skills: End-user Support, Device Management, IT Support. Serve as first point of contact. 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Focus areas include patient access, financial clearance, denial management, billing and collections, and self-pay functions. Activities will include project management tasks including scheduling meetings, developing materials, taking notes, tracking deliverables, and facilitating communications. Intern will also support analytics teams including identifying data sources, reconciling data sets, cleaning and preparing data, checking results and preparing presentations. Position Objective: Support Luminis Health initiatives to align revenue cycle shared services with the goals and objectives of the hospitals, clinics, physician groups and other areas providing services to our patients and our communities. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Provide project management support to department and multi-disciplinary revenue cycle teams including scheduling meetings, preparing materials, summarizing decisions, tracking deliverables, and assisting with team communications Assist with the identification of existing revenue cycle policies and procedures and the development of standardized policies and procedures. Support the role-out of new policies and procedures and related training materials emanating from revenue cycle operational and strategic initiatives. Assist analysts and business users with data-related needs including identifying and documenting data sources, assessing data quality, cleaning data sets, validating results, and preparing powerpoints and other presentations for teams and leadership. Support revenue cycle administrative needs including assisting with town hall planning, drafting department updates, maintaining organizational charts, and communicating with hospitals, physician billing, and other departments. Educational/Experience Requirements: Be 18 years of age or older Attend an accredited educational institution, including, but not limited to, trade school, technical or vocational institute, community college, four-year college or university, or graduate school Have demonstrated experience in a previous summer job or volunteer role that requires interacting with individuals and/or groups in a professional capacity Required License/Certifications: None Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will not be exposed to blood-borne pathogens. Physical Demands – N/A or Light This is an office job that consists primarily of computer work, individual meetings with Luminis staff and team meetings with revenue cycle and related departments. The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Requirements: Outlined Above Pay Range $17—$20 USD Luminis Health Benefits Overview: • Medical, Dental, and Vision Insurance • Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) • Paid Time Off • Tuition Assistance Benefits • Employee Referral Bonus Program • Paid Holidays, Disability, and Life/AD&D for full-time employees • Wellness Programs • Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select \"yes\" when asked to \"opt-in to receive text messages\" and to \"Receive updates from a recruiter about this job via SMS\" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.", "summaryDescription" : "Student Intern at Luminis Health. Provide project management support. Assist with identification of policies", "postedDate" : "2026-06-12T22:09:39.586", "createdAt" : "2026-06-12T22:09:39.586", "lastUpdated" : "2026-06-14T22:21:54.199", "ingestTimestamp" : "2026-06-12T22:09:39.586", "mongoId" : "6a2c5e5674d8ee00a08e3378", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 20, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "other", "jobSubcategory" : "lh-anne-arundel-med-ctr---food-and-nutrition", "dataQualityScore" : 0.8888889, "_score" : 700.50214, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a25799f74d8ee00a0186aa6", "title" : "Clinical Research Intern", "company" : "Gsk", "industry" : "Biopharma", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "TRY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Clinical Research Intern in Turkey, adjusted for entry-level seniority and part-time employment." }, "location" : "Türkiye", "locations" : [ "Türkiye" ], "timestamp" : "2026-06-12T16:34:10.686", "fingerprint" : "ea68b2457e2965b72558bc2aa2c99ca996e44a16124427db390926c9fd69badc", "source" : "workday", "language" : "en", "applyUrl" : "https://gsk.wd5.myworkdayjobs.com/GSKCareers/job/Istanbul-River-Plaza/Clinical-Research-Intern_441537", "externalId" : "441537", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Turkey", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Turkey", "employmentType" : "PART_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Microsoft Word, Microsoft Excel, Microsoft PowerPoint", "professionalSkills" : [ "Clinical research", "Regulatory compliance" ], "hardSkillsList" : [ "Data entry", "File management" ], "softSkillsList" : [ "Curiosity", "Attention to detail", "Clear communication" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "File management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Attention to detail" }, { "name" : "Clear communication" } ], "majorSkills" : "Clinical research, Data management", "majorSkillsList" : [ "Clinical research", "Data management" ], "coreResponsibilities" : "Support preparation of clinical study documents, Support maintenance of clinical study documents, Support preparation of trial files, Support maintenance of trial files, Coordinate logistics for site activities, Coordinate logistics for investigational supplies, Assist with data entry, Assist with basic maintenance of clinical databases, Assist with basic maintenance of clinical trackers, Support site communications, Prepare materials for monitoring visits, Contribute to team activities, Ensure regulatory compliance, Ensure ethical compliance, Provide administrative support", "teamCollaboration" : "Clinical Research team", "domainKnowledge" : "Clinical research; Pharmaceutical industry; Regulatory guidelines", "domainList" : [ "clinical-research", "pharmaceutical-industry", "regulatory-guidelines" ], "domainSpecificKnowledge" : [ "Clinical research", "Pharmaceutical industry", "Regulatory guidelines" ], "communicationSkills" : "Clear communication; English communication", "documentationSkills" : "Clinical documentation", "continuousLearning" : "Mentoring; Structured learning", "specialRequirements" : "On-site work", "qualificationsBasic" : "Enrolled in degree program, Good organisational skills, Attention to detail, Ability to work in team, Communicate clearly, Basic IT skills, Microsoft Word, Excel, PowerPoint, Intermediate level English, Availability to work on-site", "qualificationsPreferred" : "Previous internship/coursework, Familiarity with clinical trial documentation, Familiarity with regulatory guidelines, Experience with data entry, Experience with electronic file management, Fluency in Turkish and English, Proactive attitude, Willingness to learn new systems, Interest in clinical research career, Interest in pharmaceutical industry career", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. Find out more: [Our approach to R&D](https://www.gsk.com/en-gb/innovation/) **Clinical Research Intern** You will join our Clinical Research team in Türkiye as an intern. You will support planning, documentation and site activities for clinical studies while learning from experienced colleagues. We value curiosity, attention to detail and clear communication. This role offers mentoring, hands-on experience and a chance to contribute to work that helps get ahead of disease together. **Responsibilities:** This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: * Support preparation and maintenance of clinical study documents and trial files. * Help coordinate logistics for site activities and investigational supplies. * Assist with data entry and basic maintenance of clinical databases and trackers. * Support site communications and prepare materials for monitoring visits. * Contribute to team activities that ensure regulatory and ethical compliance. * Provide administrative support to keep study processes running smoothly. **Basic Qualifications** We are seeking professionals with the following required skills and qualifications to help us achieve our goals: * Enrolled in a degree program in Life Sciences, Pharmacy, Medicine, Nursing or a related field. * Good organisational skills and strong attention to detail. * Ability to work well in a team and communicate clearly. * Basic IT skills, including Microsoft Word, Excel and PowerPoint. * Intermediate level English (spoken and written). * Availability to work on-site during regular business hours. **Preferred Qualifications** If you have the following characteristics, it would be a plus: * Previous internship or coursework in clinical research, hospitals, or research centres. * Familiarity with clinical trial documentation or regulatory guidelines. * Experience with data entry or electronic file management systems. * Fluency in Turkish and strong English communication skills. * Proactive attitude and willingness to learn new systems and processes. * Interest in building a long-term career in clinical research or the pharmaceutical industry. This position is on-site in Türkiye. It offers structured learning, mentoring and regular exposure to clinical research processes. You will join a team that supports growth and values different perspectives. We encourage applicants from health and life science backgrounds who want to build a career in clinical research. Apply now to learn, contribute and grow. **Why GSK?** **Uniting science, technology and talent to get ahead of disease together.** GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. As an Inclusive employer, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at [_tr.recruitment-adjustments @gsk.com_](mailto:tr.recruitment-adjustments@gsk.com) to discuss your needs. Please note should your enquiry not relate to adjustments; we will not be able to support you through these channels GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. **Important notice to Employment businesses/ Agencies** GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at [_https://openpaymentsdata.cms.gov/_](https://openpaymentsdata.cms.gov/)", "summaryDescription" : "Clinical Research Intern at Gsk. Skills: Clinical research, Data management. Support preparation of clinical study documents. Support maintenance of clinical study documents", "postedDate" : "2026-06-08T10:25:58.877", "createdAt" : "2026-06-11T10:25:58.801", "lastUpdated" : "2026-06-12T16:34:10.686", "ingestTimestamp" : "2026-06-11T10:25:58.801", "mongoId" : "6a25799f74d8ee00a0186aa6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://gsk.wd5.myworkdayjobs.com/GSKCareers/job/Istanbul-River-Plaza/Clinical-Research-Intern_441537", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data entry", "File management", "Curiosity", "Attention to detail", "Clear communication", "Clinical research", "Data management", "Regulatory compliance", "Pharmaceutical industry", "Regulatory guidelines" ], "skillCount" : 10, "jobCategory" : "other", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "_score" : 695.4622, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biopharma" }, { "id" : "6a2a670a74d8ee00a062e2f9", "title" : "Parts Identification Specialist - IR - NA", "company" : "Johnson Controls", "industry" : "Building Systems", "salary" : { "min" : 400000.0, "max" : 650000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Parts Identification Specialist in India, adjusted for remote work and full-time employment." }, "location" : "Mexico", "locations" : [ "Mexico" ], "timestamp" : "2026-06-13T08:14:19.262", "fingerprint" : "535e5e68a33141e008d439f5ee27d425f9d3ae6085e5837b3b27bed050424536", "source" : "workday", "language" : "en", "applyUrl" : "https://jci.wd5.myworkdayjobs.com/JCI/job/Apodaca-Nuevo-Leon-Mexico/Parts-Identification-Specialist---IR---NA_WD30271729", "externalId" : "WD30271729", "industryFunction" : { }, "locationPoint" : "23.6345,-102.5528", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "MAPICS, SAP, EASYPARTS", "professionalSkills" : [ "Parts identification", "Quotation generation", "Customer support" ], "hardSkillsList" : [ "Service engineering", "Chiller parts", "Industrial Refrigeration" ], "softSkillsList" : [ "Analytical skills", "Owner’s mindset", "Interpersonal skills", "Organizational skills" ], "hardSkills" : [ { "name" : "Service engineering", "level" : "intermediate" }, { "name" : "Chiller parts", "level" : "intermediate" }, { "name" : "Industrial Refrigeration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Owner’s mindset" }, { "name" : "Interpersonal skills" }, { "name" : "Organizational skills" } ], "majorSkills" : "Parts identification, Chiller parts, Industrial Refrigeration", "majorSkillsList" : [ "Parts identification", "Chiller parts", "Industrial Refrigeration" ], "coreResponsibilities" : "Provide part number and quotation for chiller parts, Support in executing part ID & Quotes, Identification of serviceable part numbers for Industrial Refrigeration, Understand the customer parts request, Provide necessary information regarding Industrial Refrigeration, Provide quotes for identified part numbers", "domainKnowledge" : "Industrial Refrigeration; Chillers; Compressors; Heat exchangers; Electrical parts; Frick chiller electrical panels", "domainList" : [ "industrial-refrigeration", "chillers", "compressors", "heat-exchangers", "electrical-parts", "frick-chiller-electrical-panels" ], "domainSpecificKnowledge" : [ "Industrial Refrigeration", "Chillers", "Compressors", "Heat exchangers", "Electrical parts", "Frick chiller electrical panels" ], "toolProficiency" : [ "MAPICS", "SAP", "EASYPARTS" ], "communicationSkills" : "Written communication; Spoken communication", "continuousLearning" : "Opportunities for professional growth and development", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Complete tasks in a timely manner", "qualificationsBasic" : "Graduate in any Engineering discipline, 1 to 2 years of working experience as a service engineer for IR / chillers, Fluency in English, both written and spoken", "qualificationsPreferred" : "Working experience of multiple types of chillers, compressors, heat exchangers, and electrical parts, knowledge of various Frick / chiller electrical panels and components, Understanding of parts manuals and engineering drawings", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward. We are looking for a **Parts Identification Specialist.** **What will you do?** The Parts Identification Specialist will be responsible for providing part number and quotation for chiller parts as requested by customers. Additionally, you will support in executing part ID & Quotes. **How will you do it?** * Identification of serviceable part numbers for Industrial Refrigeration using parts/service catalogs, SLM, and ERP tools like MAPICS,SAP,EASYPARTS * Understand the customer parts request. * Provide necessary information regarding Industrial Refrigeration as requested by customers. * Provide quotes for the identified part numbers/requested parts **What are we looking for?** * Graduate in any Engineering discipline. * 1 to 2 years of working experience as a service engineer for IR / chillers. * Fluency in English, both written and spoken. * Working experience of multiple types of chillers, compressors, heat exchangers, and electrical parts would be an added advantage. * Strong knowledge of various Frick / chiller electrical panels and components. * Understanding of parts manuals and engineering drawings. * Strong analytical & Communication skills. * Owner’s mindset and ability to complete tasks in a timely manner. * Strong work ethics with excellent interpersonal and organizational skills. **What do we offer?** * **Remote position (possibility of being hybrid in the future)** * Comprehensive benefits package. * Opportunities for professional growth and development. * Supportive and inclusive work environment. * Commitment to work-life balance and employee well-being. * Engagement in meaningful projects that make a difference. **Johnson Controls does not request pregnancy or HIV testing as a condition for hiring, continued employment, or promotion** , in accordance with its commitment to labor equality and non-discrimination.", "summaryDescription" : "Parts Identification Specialist - IR - NA at Johnson Controls. Skills: Parts identification, Chiller parts, Industrial Refrigeration. Provide part number and quotation for chiller parts. Support in executing part ID & Quotes", "postedDate" : "2026-06-11T16:14:35.495", "createdAt" : "2026-06-11T16:14:35.483", "lastUpdated" : "2026-06-13T08:14:19.262", "ingestTimestamp" : "2026-06-11T16:14:35.483", "mongoId" : "6a2a670a74d8ee00a062e2f9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://jci.wd5.myworkdayjobs.com/JCI/job/Apodaca-Nuevo-Leon-Mexico/Parts-Identification-Specialist---IR---NA_WD30271729", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Service engineering", "Chiller parts", "Industrial Refrigeration", "Analytical skills", "Owner’s mindset", "Interpersonal skills", "Organizational skills", "Parts identification", "Quotation generation", "Customer support", "Chillers", "Compressors", "Heat exchangers", "Electrical parts", "Frick chiller electrical panels", "MAPICS", "SAP", "EASYPARTS" ], "skillCount" : 18, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 678.8473, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Building Systems" }, { "id" : "6a2a529674d8ee00a05fb1c6", "title" : "Systems & IT Intern – International Convention Registration Operations", "company" : "BBYO", "salary" : { "min" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "(Remote) Washington, DC Preferred", "locations" : [ "(Remote) Washington", "DC Preferred" ], "timestamp" : "2026-06-13T10:28:09.677", "fingerprint" : "fe870cbe9a8dec032b08bc199e75f0ac5fa14a8417e2cf131455e8ed3ea1f22d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bbyo.org/about/careers/career-details/?gh_jid=7997887", "externalId" : "7997887", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Microsoft Office, Excel, Word", "professionalSkills" : [ "Systems management", "Nonprofit operations", "Data management", "Project management", "Logistics" ], "hardSkillsList" : [ "Data entry", "Problem-solving" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "majorSkills" : "Systems operations, Event logistics, Data management", "majorSkillsList" : [ "Systems operations", "Event logistics", "Data management" ], "coreResponsibilities" : "Assemble documents for review cycles, Build reviewer lists, Send instructions and deadlines, Keep things on track with follow-ups, Organize operational data reports, Maintain registration-related lists, Run reports, Update large data sets, Work directly in CRM tools, Build feedback spreadsheets for testing, Distribute instructions to testers, See feedback through to implementation, Work with different teams for registration readiness, Jump in wherever extra hands are needed, Collaborate with teams across the organization, Complete tasks to support IC success, Support data cleanup projects", "teamCollaboration" : "Collaborating with teammates; Work with different teams; Collaborate with teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Nonprofit operations; Jewish teen life", "domainList" : [ "nonprofit-operations", "jewish-teen-life" ], "domainSpecificKnowledge" : [ "Nonprofit operations", "Jewish teen life" ], "toolProficiency" : [ "CVENT", "AirTable" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "Availability to work 10-19 hours/week from May 2026 through February 2027, Unrestricted authorization to work", "qualificationsPreferred" : "Prior BBYO experience, Similar youth organization experience, Similar Jewish organization experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Systems & IT Intern – International Convention Registration Operations Internship Dates: July 2026 through February 2027 (with the possibility to extend) Internship Hours: 10-19 hours/week Internship Location: Remote Pay: $15.00/Hour or State Min. We’re looking for an innovative, self-starting intern to assist the Systems and IT team build out and manage the registration process for BBYO International Convention. The ideal candidate can work independently, is hardworking and eager to learn. We will work with your college schedule! Who We Are: We're a global network of passionate professionals excited to make a difference in the lives of Jewish teens. We are the Jewish community's largest and fastest-growing pluralistic platform for reaching and inspiring Jewish teens, built on nearly a century storied history. We support over 600 local, teen-led local chapters across more than 50 countries, at more than 100-weekend retreats during the school year and across a rapidly growing suite of global exchanges, campaigns, and movement initiatives all year round. Our team is strong, agile, creative, and inclusive. We are fast-paced, high-energy and results-driven, and we enjoy working together just as much as we believe in the mission we are chasing together. What Is International Convention (IC)? Every Presidents’ Day weekend, BBYO brings together 5,000+ Jewish teen leaders, educators, professionals, and philanthropists for one of the largest gatherings of Jewish teens worldwide. Delegates hear from inspiring speakers, develop leadership skills, serve the local community, celebrate Shabbat, attend exclusive music performances, and shape the Jewish future. Who You Are: You’re a college student eager to gain hands-on experience in system operations and logistics. You enjoy organizing details, solving problems, collaborating with teammates, and pulling back the curtain on what it takes to produce a large-scale global event. You thrive in fast-paced environments and are motivated by work that has real impact on Jewish teen life. Why This Internship Matters: This internship puts you at the center of one of the most impactful events in Jewish teen life — giving you real-world experience in project management, systems management, and nonprofit operations along the way. What You’ll Do as Our Intern: Prepare for and coordinate review cycles by assembling documents, building reviewer lists, sending instructions and deadlines, and keeping things on track with scheduled follow-ups. Keep operational data clean and current by organizing reports and maintaining registration-related lists, including priority registration and waitlist materials. Gain real hands-on experience in data management by running reports, updating large data sets, and working directly in CRM tools like CVENT and AirTable. Support testing logistics from start to finish by building feedback spreadsheets, distributing instructions to reviewers, and seeing feedback through to implementation. Support registration readiness by working with different teams throughout IC planning, jumping in wherever extra hands are needed. Collaborate directly with teams across the organization to complete tasks that support IC’s success. Support in other data cleanup projects as needed. Career Pathways This Internship Supports: This internship is ideal for students interested in pursuing careers in: Nonprofit Management & Jewish Communal Work Data & Systems Management (CRM, Reporting, Logistics Tools) By the time you wrap up, you'll have real experience with the complex logistics and cross-functional teamwork it takes to pull off a large-scale global event — plus a toolkit of professional skills in communication, collaboration, data management, and project work that travel well across industries. Role Requirements: A responsible self-starter who is comfortable balancing independent work with team collaboration. Detail-oriented, with strong written and verbal communication skills. Analytically minded, organized, and comfortable with data entry and problem-solving. Proficient in Microsoft Office (Excel, Word) and eager to pick up new tools like CVENT and AirTable. Prior BBYO experience or similar youth/Jewish organization experience is a plus, but not required. Availability to work 10-19 hours/week from May 2026 through February 2027. Unrestricted authorization t", "summaryDescription" : "Systems & IT Intern – International Convention Registration Operations at BBYO. Skills: Systems operations, Event logistics, Data management. Assemble documents for review cycles. Build reviewer lists", "postedDate" : "2026-06-11T16:59:45.545", "createdAt" : "2026-06-11T16:59:45.545", "lastUpdated" : "2026-06-13T10:28:09.677", "ingestTimestamp" : "2026-06-11T16:59:45.545", "mongoId" : "6a2a529674d8ee00a05fb1c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data entry", "Problem-solving", "Systems operations", "Event logistics", "Data management", "Systems management", "Nonprofit operations", "Project management", "Logistics", "Jewish teen life", "CVENT", "AirTable" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "systems-&-technology", "dataQualityScore" : 1.0, "_score" : 676.5219, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a848474d8ee00a0679131", "title" : "Senior Researcher, Place-Based Evaluation & Learning", "company" : "American Institutes for Research", "salary" : { "min" : 126000.0, "max" : 154000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote (United States)", "locations" : [ "Remote (United States)" ], "timestamp" : "2026-06-14T21:20:29.401", "fingerprint" : "b5fe9c30251f3c38bec11b8191d5ce859879856a4e6121d7d97d8b8271ffa1c8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/americaninstitutesforresearch/jobs/5250771008", "externalId" : "5250771008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Evaluation frameworks", "Learning systems", "Data collection", "Data analysis", "Reporting", "Applied evaluation", "Proposal development" ], "hardSkillsList" : [ "Statistical analysis", "Quantitative analysis", "Qualitative analysis", "Data modeling", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification analysis", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Evaluation, Learning, Data analysis, Research", "majorSkillsList" : [ "Evaluation", "Learning", "Data analysis", "Research" ], "coreResponsibilities" : "Partner with intermediary, Design evaluation frameworks, Operationalize evaluation frameworks, Identify metrics, Identify data points, Identify data sources, Identify data collection processes, Develop evaluation work plans, Sequence data collection, Sequence data entry, Sequence analysis, Sequence reporting, Sequence learning cycles, Translate evaluation needs, Provide guidance for data systems, Support execution of evaluation activities, Support execution of learning activities, Build partner capacity, Develop tools for partners, Develop templates for partners, Develop protocols for partners, Serve as thought partner, Connect data to decision-making, Connect evidence to decision-making, Connect learning to decision-making, Produce evaluation frameworks, Produce playbooks, Produce data collection tools, Produce data collection protocols, Produce reporting templates, Produce learning briefs, Produce synthesis memos, Provide partner-facing guidance, Translate complex findings, Provide actionable insights, Lead discrete projects, Manage project timelines, Manage project deliverables, Coordinate with partners, Coordinate with AIR colleagues, Engage with partners, Build trust-based relationships, Build collaborative relationships, Lead proposal development, Contribute to proposal development, Shape evaluation approaches, Work collaboratively with multidisciplinary teams, Mentor junior staff, Contribute to collaborative work environment, Contribute to inclusive work environment, Travel to partner sites", "teamCollaboration" : "Multidisciplinary AIR teams; Practitioner staff; Technical administrators; Senior project director; AIR colleagues", "projectManagementSkills" : [ "Project management", "Timeline management", "Deliverable coordination" ], "domainKnowledge" : "Place-based evaluation; Place-based learning; Community wellbeing; Economic mobility; Systems change; Cradle-to-career initiatives; Neighborhood-based strategies", "domainList" : [ "place-based-evaluation", "place-based-learning", "community-wellbeing", "economic-mobility", "systems-change", "cradle-to-career-initiatives", "neighborhood-based-strategies" ], "domainSpecificKnowledge" : [ "Place-based evaluation", "Place-based learning", "Community wellbeing", "Economic mobility", "Systems change", "Cradle-to-career initiatives", "Neighborhood-based strategies" ], "toolProficiency" : [ "Zoom", "Teams", "SharePoint" ], "communicationSkills" : "Translate research; Actionable insights; Practitioner audiences; Funder audiences; Field-facing audiences", "documentationSkills" : "Evaluation frameworks; Data collection tools; Reporting templates; Learning briefs; Synthesis memos; Partner-facing guidance", "problemSolvingSkills" : "Data-driven solutions; Measurable indicators; Feasible indicators", "specialRequirements" : "25% travel", "outcomesObjectives" : "Improve programs; Improve practices; Support wellbeing; Expand opportunities; Improve lives; Strengthen strategy; Strengthen accountability; Strengthen continuous improvement; Stand up evaluation agenda; Implement evaluation agenda; Stand up learning agenda; Implement learning agenda", "qualificationsBasic" : "PhD and 3 years relevant experience, Master's degree with 7 years relevant experience, Demonstrated experience designing evaluation frameworks, Experience working with practitioners, Experience supporting place-based partnerships, Experience developing learning products, Qualitative research skills, Quantitative research skills, Proficiency in research methods", "qualificationsPreferred" : "Familiarity with place-based initiatives, Familiarity with systems-change initiatives, Familiarity with multi-partner initiatives", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Join AIR as a Senior Researcher, Place Based Evaluation & Learning and use your experience and expertise to help us deliver on our mission: to generate evidence and apply data driven solutions that expand opportunities and improve lives for all. This role is designed for a senior researcher who thrives in deep partnership with place-based organizations and the national intermediaries that support them to improve programs and practices that support community and individual level wellbeing, including economic mobility. Working alongside practitioners, the senior researcher will co design learning projects, translate learning priorities into measurable and feasible indicators, and help build evaluation and learning systems that drive better decisions. In collaboration with a senior project director, the Researcher will lead components of complex projects, develop applied evaluation frameworks, and translate research into practical, actionable tools that partners can use to strengthen strategy, accountability, and continuous improvement. This position will be primarily dedicated (approximately 80%) to supporting a research collaboration with a single national intermediary that engages place-based partnerships nationwide, to help stand up and implement an integrated evaluation and learning agenda. Over time, the role may evolve to support additional places, partners, or cross site learning efforts. This is a time-limited position expected to last 12 months. The selected candidate will work full-time on Place-Based Partnerships, with potential for extension at AIR’s discretion and continued business need. This position will report to a senior leader within AIR’s Employment and Economic Opportunity program and will work closely with AIR colleagues supporting place-based initiatives and partnerships. This position may be based in either Washington, DC or New York, NY. Regular domestic travel to partner sites is expected, up to 25% time. About AIR: Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all. Responsibilities: Place‑Based Evaluation and Learning Partner closely with a national intermediary to design and operationalize evaluation and learning frameworks aligned with their place-based partners’ strategy, capacity, and context. Lead the identification of metrics, data points, data sources, and data collection processes that balance rigor with feasibility. Develop evaluation work plans, including timelines and sequencing for data collection, data entry, analysis, reporting, and learning cycles. Translate evaluation needs into clear guidance for data systems, working with partner staff and technical administrators as needed. Implementation and Capacity‑Building Support early execution of evaluation and learning activities, particularly during start‑up phases, while partners build internal capacity. Develop tools, templates, and protocols that enable partners to sustain evaluation and learning processes over time. Serve as a thought partner to practitioner staff—connecting data, evidence, and learning to real‑world decision‑making. Deliverables and Knowledge Products Produce high‑quality deliverables such as: Evaluation frameworks and playbooks Data collection tools and protocols Reporting templates, learning briefs, and synthesis memos Partner‑facing guidance related to evaluation and data use Translate complex findings into clear, actionable insights for practitioner, funder, and field‑facing audiences. Project and Relationship Management Lead discrete projects or major project components, including timelines, deliverables, and coordination with partners and AIR colleagues. Engage regularly with partners through meetings, working sessions, and briefings, building trust‑based and collaborative relationships. Lead and contribute to proposal development, including writing technical sections and shaping evaluation approaches for place‑based work. Collaboration and Culture Work collaboratively with multidisciplinary AIR teams, including researchers, data scientists, and technical assistance providers. Mentor junior staff and contribute to a collaborative, inclusive work environment that values diverse perspectives and lived experience. Travel to partner sites as necessary. Qualifications: Education, Knowledge, and Experience PhD and 3 years of relevant experience in a related field (Education, Sociology, Public Policy, Economics, Human Development, Public Health, Political Science, Psychology, or related discipline), or a master’s degree with a minimum of 7 years of relevant applied research or evaluation experience. Demonstrated experience designing and implementing applied evaluation or learning frameworks, ideally in partnership with nonprofit, community‑based, or public‑sector organizations. Experience working in close collaboration with practitioners, translating research into usable tools and systems. Experience supporting place‑based partnerships, cradle‑to‑career initiatives, or community‑level systems change. Experience developing case studies, learning products, or field‑facing knowledge resources. Interest in topics such as education, youth development, housing and homelessness, workforce development, and neighborhood‑based strategies. Willingness and ability to travel to partner sites as needed. Familiarity with place‑based, systems‑change, or multi‑partner initiatives is preferred, but not required. Skills Strong qualitative and/or quantitative research skills, with proficiency in at least one analytic tool (e.g., R, Stata, NVivo, Dedoose, Atlas.ti). Experience working with or alongside data systems (e.g., Salesforce or similar platforms) to support learning and reporting. Effective communication skills, with the ability to convey complex ideas clearly and practically. Strong organizational and time‑management skills, with the ability to manage multiple priorities in partnership‑driven environments. Ability to work independently while remaining closely aligned with partner needs and AIR project teams. Proficiency with Microsoft Office Suite and virtual collaboration tools (e.g., Zoom, Teams, SharePoint). Disclosures: Applicants must be currently authorized to work in the U. S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements. American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.org or call 202.403.5000. Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams. #LI-AS1 #LI-REMOTE AIR’s Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States. Anticipated Annual Salary Range $126,000—$154,000 USD", "summaryDescription" : "Senior Researcher, Place-Based Evaluation & Learning at American Institutes for Research. Skills: Evaluation, Learning, Data analysis, Research. Partner with intermediary. Design evaluation frameworks", "postedDate" : "2026-06-11T21:14:50.832", "createdAt" : "2026-06-11T21:14:50.832", "lastUpdated" : "2026-06-14T21:20:29.401", "ingestTimestamp" : "2026-06-11T21:14:50.832", "mongoId" : "6a2a848474d8ee00a0679131", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 126000, "salaryAnnualMax" : 154000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Quantitative analysis", "Qualitative analysis", "Data modeling", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Mentoring", "Evaluation", "Learning", "Data analysis", "Research", "Evaluation frameworks", "Learning systems", "Data collection", "Reporting", "Applied evaluation", "Proposal development", "Project management", "Timeline management", "Deliverable coordination", "Place-based evaluation", "Place-based learning", "Community wellbeing", "Economic mobility", "Systems change", "Cradle-to-career initiatives", "Neighborhood-based strategies", "Zoom", "Teams", "SharePoint" ], "skillCount" : 34, "jobCategory" : "other", "jobSubcategory" : "r51---employment-&-economic-opp", "dataQualityScore" : 1.0, "_score" : 669.52515, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c5e5674d8ee00a08e3373", "title" : "Student Intern", "company" : "Luminis Health", "industry" : "Healthcare", "salary" : { "min" : 17.0, "max" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Annapolis, MD", "locations" : [ "Annapolis", "MD" ], "timestamp" : "2026-06-15T01:08:10.164", "fingerprint" : "31d49566ea087e1b7fb6f40de19f6441a65ab266e1e8eec46e458b046a7e540d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/luminishealth/jobs/5237801008?gh_jid=5237801008", "externalId" : "5237801008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Annapolis", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9786401,-76.4927860" } ], "locationText" : "Annapolis, Maryland, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Revenue cycle management", "Project management", "Data analysis" ], "hardSkillsList" : [ "Data reconciliation", "Data cleaning", "Presentation preparation" ], "hardSkills" : [ { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Presentation preparation", "level" : "intermediate" } ], "majorSkills" : "Revenue cycle, Project management, Data analysis", "majorSkillsList" : [ "Revenue cycle", "Project management", "Data analysis" ], "coreResponsibilities" : "Provide project management support to department and multi-disciplinary, Assist with the identification of existing revenue cycle, Assist with the development of standardized policies and, Support the role-out of new policies and procedures, Support the role-out of related training materials, Assist analysts and business users with data-related needs, Support revenue cycle administrative needs, Assist with town hall planning, Draft department updates, Maintain organizational charts, Communicate with hospitals, physician billing, and other departments", "teamCollaboration" : "Multi-disciplinary revenue cycle teams; Department and leadership teams", "projectManagementSkills" : [ "Scheduling meetings", "Developing materials", "Taking notes", "Tracking deliverables", "Facilitating communications" ], "domainKnowledge" : "Patient access; Financial clearance; Denial management; Billing and collections; Self-pay functions; Revenue cycle", "domainList" : [ "patient-access", "financial-clearance", "denial-management", "billing-and-collections", "self-pay-functions", "revenue-cycle" ], "domainSpecificKnowledge" : [ "Patient access", "Financial clearance", "Denial management", "Billing and collections", "Self-pay functions", "Revenue cycle" ], "communicationSkills" : "Preparing presentations; Team communications; Department updates", "documentationSkills" : "Policies and procedures", "continuousLearning" : "Tuition Assistance Benefits", "outcomesObjectives" : "Improve revenue capture; Streamline operations", "qualificationsBasic" : "18 years of age or older, Attend an accredited educational institution, Demonstrated experience in a previous summer job or volunteer role that requires interacting with individuals and/or groups in a professional capacity", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Description: Intern will support revenue cycle leadership with departmental priorities and strategic initiatives to improve revenue capture and streamline operations. Focus areas include patient access, financial clearance, denial management, billing and collections, and self-pay functions. Activities will include project management tasks including scheduling meetings, developing materials, taking notes, tracking deliverables, and facilitating communications. Intern will also support analytics teams including identifying data sources, reconciling data sets, cleaning and preparing data, checking results and preparing presentations. Position Objective: Support Luminis Health initiatives to align revenue cycle shared services with the goals and objectives of the hospitals, clinics, physician groups and other areas providing services to our patients and our communities. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Provide project management support to department and multi-disciplinary revenue cycle teams including scheduling meetings, preparing materials, summarizing decisions, tracking deliverables, and assisting with team communications Assist with the identification of existing revenue cycle policies and procedures and the development of standardized policies and procedures. Support the role-out of new policies and procedures and related training materials emanating from revenue cycle operational and strategic initiatives. Assist analysts and business users with data-related needs including identifying and documenting data sources, assessing data quality, cleaning data sets, validating results, and preparing powerpoints and other presentations for teams and leadership. Support revenue cycle administrative needs including assisting with town hall planning, drafting department updates, maintaining organizational charts, and communicating with hospitals, physician billing, and other departments. Educational/Experience Requirements: Be 18 years of age or older Attend an accredited educational institution, including, but not limited to, trade school, technical or vocational institute, community college, four-year college or university, or graduate school Have demonstrated experience in a previous summer job or volunteer role that requires interacting with individuals and/or groups in a professional capacity Required License/Certifications: None Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will not be exposed to blood-borne pathogens. Physical Demands – N/A or Light This is an office job that consists primarily of computer work, individual meetings with Luminis staff and team meetings with revenue cycle and related departments. The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Requirements: Outlined Above Pay Range $17—$20 USD Luminis Health Benefits Overview: • Medical, Dental, and Vision Insurance • Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) • Paid Time Off • Tuition Assistance Benefits • Employee Referral Bonus Program • Paid Holidays, Disability, and Life/AD&D for full-time employees • Wellness Programs • Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select \"yes\" when asked to \"opt-in to receive text messages\" and to \"Receive updates from a recruiter about this job via SMS\" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.", "summaryDescription" : "Student Intern at Luminis Health. Skills: Revenue cycle, Project management, Data analysis. Provide project management support to department and multi-disciplinary. Assist with the identification of existing revenue cycle", "postedDate" : "2026-06-12T22:21:52.100", "createdAt" : "2026-06-12T22:21:52.100", "lastUpdated" : "2026-06-15T01:08:10.164", "ingestTimestamp" : "2026-06-12T22:21:52.100", "mongoId" : "6a2c5e5674d8ee00a08e3373", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 20, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data reconciliation", "Data cleaning", "Presentation preparation", "Revenue cycle", "Project management", "Data analysis", "Revenue cycle management", "Scheduling meetings", "Developing materials", "Taking notes", "Tracking deliverables", "Facilitating communications", "Patient access", "Financial clearance", "Denial management", "Billing and collections", "Self-pay functions" ], "skillCount" : 17, "jobCategory" : "other", "jobSubcategory" : "lh-anne-arundel-med-ctr---food-and-nutrition", "dataQualityScore" : 1.0, "_score" : 662.43805, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2c5ddf74d8ee00a08df2d9", "title" : "Quantic - Quantitative Researcher Intern (Summer 2027)", "company" : "Walleye Capital", "industry" : "Financial Services", "salary" : { "min" : 20000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-14T19:02:26.948", "fingerprint" : "da92600827cfc79114162473fe27e610e42a2435b4bcbfdfd4697a6ae4b0d1df", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/walleyecapital-external-students/jobs/4679173006", "externalId" : "4679173006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "INTERNSHIP", "technicalSkills" : "Python, R, LLM", "professionalSkills" : [ "Quantitative trading", "Quantitative research", "Portfolio optimization", "Systematic investing" ], "hardSkillsList" : [ "Statistical modeling", "Computational methods", "Machine learning", "Optimization", "Time-series analysis", "Predictive signals", "Data analysis" ], "softSkillsList" : [ "Creativity", "Initiative", "Teamwork", "Curiosity", "Intellectual humility" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Computational methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Predictive signals", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creativity" }, { "name" : "Initiative" }, { "name" : "Teamwork" }, { "name" : "Curiosity" }, { "name" : "Intellectual humility" } ], "majorSkills" : "Quantitative research, Machine learning, Data analysis", "majorSkillsList" : [ "Quantitative research", "Machine learning", "Data analysis" ], "coreResponsibilities" : "Research predictive signals, Design predictive signals, Test predictive signals, Research data sets, Design data sets, Test data sets, Research trading strategies, Design trading strategies, Test trading strategies, Extract large datasets, Analyze large datasets, Apply statistical methods, Apply computational methods, Enhance research infrastructure, Enhance research tools, Develop machine learning models, Design scalable code, Implement scalable code, Work in Python, Work in R, Contribute to research tools, Contribute to research libraries, Leverage AI tools, Enhance processes with AI, Enhance analyses with AI", "teamCollaboration" : "Collaborative culture; Cross-disciplinary exchange", "domainKnowledge" : "Quantitative trading; Financial markets; Systematic investing; Asset returns; Portfolio management", "domainList" : [ "quantitative-trading", "financial-markets", "systematic-investing", "asset-returns", "portfolio-management" ], "domainSpecificKnowledge" : [ "Quantitative trading", "Financial markets", "Systematic investing", "Asset returns", "Portfolio management" ], "toolProficiency" : [ "LLM-based analytical pipelines" ], "continuousLearning" : "Continuous learning", "innovationCreativity" : "Innovation; Creativity", "problemSolvingSkills" : "Tackle complex problems; Analytical thinking", "outcomesObjectives" : "Impact trading profits", "qualificationsBasic" : "Pursuing undergraduate or advanced degree, Expected graduation date between Dec 2027 and June 2028, Programming skills in Python or R, Experience with large datasets, APIs, or databases, Rigorous analytical thinking, Statistical modeling abilities, Familiarity with machine learning, optimization, or time-series analysis", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Position: Quantic - Quantitative Researcher Intern (Summer 2027) Location: Boston, MA Please apply to only one opportunity between the Quantitative Developer, Quantitative Researcher and PhD Quantitative Researcher positions with Quantic. If the team finds you could be a potential fit for the other, we will contact you. Firm Overview: Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Quant, Fundamental Equities, and Volatility strategies. Our Team Overview: Walleye Capital is seeking highly quantitative and creative Quantitative Researcher Interns to work in the rapidly growing Quantic team based out of Boston. Quantic is Walleye’s principal quantitative investment business, established in 2016 as one of its core investment strategies. Quantic has subsequently evolved into one of the most successful trading teams in the industry. We are a tight-knit, collaborative, and intellectually rigorous group of scientists, engineers, and traders leveraging advanced statistical modeling techniques to identify and capitalize on profitable trading opportunities in global equities, options, and futures. What sets Quantic apart is our pragmatic, engineering-driven culture, where achieving goals—and achieving them the right way—takes precedence. We foster collaboration among colleagues, confident that the best ideas arise through cross-disciplinary exchange. Our commitment to continuous self-reflection and growth drives us to build the strongest possible platform for our team's future success. We are seeking talented researchers to help elevate our capabilities and join us on this journey. This role offers the opportunity to engage directly with cutting-edge data analysis, portfolio optimization, platform development, and operation of fully automated trading systems. You will join a team where your creativity, initiative, and teamwork will make direct impacts on trading profits for our investors. We invite researchers with a proven record of innovation and achievement in their fields to apply. Position Overview: As a Quantic Intern, you’ll work directly with experienced team members on meaningful projects that impact trading strategies and operations. You’ll have the opportunity to work on high-impact initiatives and develop your skills in a dynamic setting where innovation, teamwork, and talent drive success. We are seeking students with strong technical backgrounds (e.g., mathematics, statistics, computer science, or engineering), demonstrated initiative, and an interest in quantitative trading and research. Successful interns are curious, collaborative, and eager to tackle complex problems in a fast-paced, supportive environment. The internship is 10 weeks in length and will take place in Boston from June to August 2027. Responsibilities: Research, design, and test predictive signals, data sets, and systematic trading strategies. Extract and analyze large datasets from structured and unstructured sources, applying advanced statistical and computational methods. Enhance research infrastructure and tools for trading, risk management and attribution. Develop machine learning models to predict patterns in asset returns, risks, trading costs, or other portfolio-relevant variables. Design and implement scalable code across various stages of the investment process. Work in Python and/or R, with opportunities to contribute to research tools and libraries. Leverage AI tools including LLM-based analytical pipelines to enhance processes and analyses. We seek individuals who: Are pursuing an undergraduate or advanced degree in computer science, engineering, statistics, mathematics, or a related field, with an expected graduation date between December 2027 and June 2028. Possess strong programming skills—particularly in Python or R—and hold experience working with large datasets, APIs, or databases. Demonstrate rigorous analytical thinking, statistical modeling abilities, and familiarity with techniques from machine learning, optimization, or time-series analysis. Are self-starters who enjoy digging into complex, open-ended problems and can work both independently and collaboratively with a team. Exhibit a genuine interest in financial markets, systematic investing, AI/LLM application, and using technology in dynamic, data-rich environments. Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity, improve processes, and generate investment alpha. Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning. Pay Range: The expected monthly pay for this position is $20,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from Boston (domestic travel only). The deadline to apply for this opportunity is Friday, July 31 at 11:59pm ET. For questions about the process, please review our Campus FAQs. Please apply to only one opportunity between the Quantitative Developer, Quantitative Researcher and PhD Quantitative Researcher positions with Quantic. If the team finds you could be a potential fit for the other, we will contact you. Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com. Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/.", "summaryDescription" : "Quantic - Quantitative Researcher Intern (Summer 2027) at Walleye Capital. Skills: Quantitative research, Machine learning, Data analysis. Research predictive signals. Design predictive signals", "postedDate" : "2026-06-12T21:36:17.563", "createdAt" : "2026-06-12T21:36:17.563", "lastUpdated" : "2026-06-14T19:02:26.948", "ingestTimestamp" : "2026-06-12T21:36:17.563", "mongoId" : "6a2c5ddf74d8ee00a08df2d9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 240000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Computational methods", "Machine learning", "Optimization", "Time-series analysis", "Predictive signals", "Data analysis", "Creativity", "Initiative", "Teamwork", "Curiosity", "Intellectual humility", "Quantitative research", "Quantitative trading", "Portfolio optimization", "Systematic investing", "Financial markets", "Asset returns", "Portfolio management", "LLM-based analytical pipelines" ], "skillCount" : 20, "jobCategory" : "other", "jobSubcategory" : "quantic", "dataQualityScore" : 0.8888889, "_score" : 649.8543, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2a682f74d8ee00a06335eb", "title" : "Intern, Health Economics and Outcomes Research (Fall Term)", "company" : "Precision AQ", "industry" : "Healthcare", "salary" : { "min" : 40000.0, "max" : 55000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Canada, adjusted for the healthcare industry and remote work." }, "location" : "Remote (Canada)", "locations" : [ "Remote (Canada)" ], "timestamp" : "2026-06-13T10:00:01.348", "fingerprint" : "af36d7af0f95f0d2756da257496d866db29555a23247a95c80e258b2f9467c26", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/precisionaq/jobs/6016055004", "externalId" : "6016055004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "R, SAS", "professionalSkills" : [ "Health economics", "Evidence-based analysis", "Health policy", "Quantitative analysis", "Qualitative analysis" ], "hardSkillsList" : [ "Systematic literature reviews", "Evidence synthesis", "Health economic models", "Quantitative findings interpretation", "Qualitative findings interpretation" ], "softSkillsList" : [ "Analytical skills", "Organizational skills", "Critical thinking skills" ], "hardSkills" : [ { "name" : "Systematic literature reviews", "level" : "intermediate" }, { "name" : "Evidence synthesis", "level" : "intermediate" }, { "name" : "Health economic models", "level" : "intermediate" }, { "name" : "Quantitative findings interpretation", "level" : "intermediate" }, { "name" : "Qualitative findings interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Organizational skills" }, { "name" : "Critical thinking skills" } ], "majorSkills" : "Health Economics, Outcomes Research, Evidence Synthesis", "majorSkillsList" : [ "Health Economics", "Outcomes Research", "Evidence Synthesis" ], "coreResponsibilities" : "Assist with systematic literature reviews, Assist with evidence synthesis, Contribute to health economic models, Interpret quantitative findings, Communicate quantitative findings, Interpret qualitative findings, Communicate qualitative findings, Support memo development, Support report development, Support evidence table development, Support presentation development, Support publication development, Participate in client meetings, Provide administrative support, Collaborate to enhance workflows, Collaborate to enhance efficiency, Research optimal methodologies, Recommend optimal methodologies, Research implementation strategies, Recommend implementation strategies, Maintain tools, Update tools, Maintain documentation, Update documentation", "teamCollaboration" : "Within a team", "domainKnowledge" : "Healthcare research; Health policy; Health economics", "domainList" : [ "healthcare-research", "health-policy", "health-economics" ], "domainSpecificKnowledge" : [ "Healthcare research", "Health policy", "Health economics" ], "toolProficiency" : [ "Microsoft Office Suite" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Documentation", "continuousLearning" : "Eagerness to learn", "qualificationsBasic" : "Formal training in quantitative research methodologies, Formal training in qualitative research methodologies, Proficiency in Microsoft Office Suite", "qualificationsPreferred" : "Currently enrolled in undergraduate or graduate program, Experience in economics, Experience in public policy, Experience in epidemiology, Experience in public health, Experience in operations research, Familiarity with R, Familiarity with SAS, Familiarity with similar platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are seeking a motivated and detail-oriented Intern to support our Evidence Solutions team. This internship is ideal for students passionate about healthcare and research. You’ll gain hands-on experience in systematic literature reviews, health economics, and evidence-based analysis while contributing to real-world client deliverables. Key Responsibilities: Assist with systematic literature reviews and evidence synthesis across a range of healthcare topics Contribute to the design and implementation of health economic models Help interpret and communicate both quantitative and qualitative findings to internal and external stakeholders Support the development of memos, reports, evidence tables, presentations, and peer-reviewed publications Participate in client-facing meetings and provide administrative support for ongoing projects Collaborate with leadership to enhance internal workflows and operational efficiency Research and recommend optimal methodologies and implementation strategies Maintain and update tools and documentation to align with best practices Qualifications: Currently enrolled in an undergraduate or graduate program (preferred) in a healthcare-related field Demonstrated interest in healthcare research, health policy or economics Experience in research areas such as economics, public policy, epidemiology, public health, or operations research Strong attention to detail and excellent time management skills Ability to work independently and collaboratively within a team Eagerness to learn and share knowledge Excellent written and verbal communication skills Strong analytical, organizational and critical thinking skills Solid academic performance Proficiency in Microsoft Office Suite Formal training in quantitative and/or qualitative research methodologies Familiarity with statistical programming tools such as R, SAS, or similar platforms Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.", "summaryDescription" : "Intern, Health Economics and Outcomes Research (Fall Term) at Precision AQ. Skills: Health Economics, Outcomes Research, Evidence Synthesis. Assist with systematic literature reviews. 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Gathers and analyzes data, prepares reports, and performs administrative tasks. Must be able to work a flexible schedule with occasional after hours support. **Job Description:** **Essential Functions:** * Obtains supplies and equipment needed for research projects and ensures they in proper working condition. * Assists in laboratory analysis and data interpretation. * Assists in the preparation and drafting of research proposals and reports, collecting and collating supporting data. * Organizes and maintains laboratory records. * Maintains clean laboratory area and equipment. * Follows all safety protocols and procedures. **Education Requirement:** Enrollment in High School or an accredited undergraduate, graduate, or doctorate program, preferred. **Licensure Requirement:** (not specified) **Certifications:** (not specified) **Skills:** Interpersonal, presentation, and communication skills to interact efficiently with various audiences. **Experience:** (not specified) **Physical Requirements:** OCCASIONALLY: Bend/twist, Biohazard waste, Chemicals/Medications, Climb stairs/ladder, Cold Temperatures, Fume /Gases /Vapors, Hot Temperatures, Lifting / Carrying: 11-20 lbs, Pushing / Pulling: 41-60 lbs, Pushing / Pulling: 61-100 lbs FREQUENTLY: Computer skills, Lifting / Carrying: 0-10 lbs, Pushing / Pulling: 0-25 lbs, Pushing / Pulling: 26-40 lbs, Standing, Walking CONTINUOUSLY: Audible speech, Color vision, Decision Making, Depth perception, Flexing/extending of neck, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Reaching above shoulder, Repetitive hand/arm use, Seeing – Far/near, Sitting, Squat/kneel **Additional Physical Requirements performed but not listed above:** (not specified) \"The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet\"", "summaryDescription" : "Research Intern - Adolescent Medicine at Research Intern. Skills: Research studies, Data gathering, Report preparation. Obtain supplies and equipment. 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Work independently and collaboratively", "domainKnowledge" : "Financial markets; Execution trading; Quantitative investment", "domainList" : [ "financial-markets", "execution-trading", "quantitative-investment" ], "domainSpecificKnowledge" : [ "Financial markets", "Execution trading", "Quantitative investment" ], "innovationCreativity" : "Leveraging AI tools to enhance productivity; Leveraging AI tools to improve processes; Leveraging AI tools to generate investment alpha", "problemSolvingSkills" : "Digging into complex, open-ended problems", "qualificationsBasic" : "Undergraduate or advanced degree in computer science, engineering, statistics, mathematics, or related field, Expected graduation date between December 2027 and June 2028, Quantitative and analytical skills, Programming proficiency in R and/or Python", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Position: Central Equity Quant Research (CEQR) Intern (Summer 2027) Location: New York, NY Firm Overview: Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Fundamental Equities, Quant, and Volatility strategies. At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team’s success. Our people are our greatest asset, and we’ve cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity. Position Overview: Walleye Capital is seeking highly quantitative and analytical interns to join our Central Equity Quant Research (CEQR) team for Summer 2027. As a CEQR intern, you’ll work at the core of our firm’s trading infrastructure, developing and optimizing models that reduce trading costs and decipher short-term alphas. You’ll contribute to projects that influence our quantitative investment strategies and collaborate closely with our investment teams. This is a unique opportunity for quantitative minds who thrive at the intersection of mathematical modeling, data analysis, and programming. The internship is 10 weeks in length and will take place in New York City from June to August 2027. Responsibilities: Conduct quantitative research to evaluate model performance and identify opportunities for improvement using large-scale datasets. Build predictive and explanatory models to identify patterns in asset returns, risks, trading costs and price impact, or other aspects relevant to managing our portfolios, including statistical ranking models, calibration frameworks, and structured approaches to synthesizing unstructured data. Gain exposure to a range of strategies and collaborate across groups to integrate your work into production systems that support trading decisions. Help build and enhance our infrastructure and tools for trading, risk management and attribution, leveraging AI tools including LLM-based analytical pipelines. We seek individuals who: Are pursuing an undergraduate or advanced degree in computer science, engineering, statistics, mathematics, or a related field, with an expected graduation date between December 2027 and June 2028. Demonstrate strong quantitative and analytical skills (including programming proficiency in R and/or Python). Are self-starters who enjoy digging into complex, open-ended problems and can work both independently and collaboratively with a team. Exhibit a genuine interest in financial markets, execution trading, systematic investing, AI/LLM application, and using technology in dynamic, data-rich environments. Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity, improve processes, and generate investment alpha. Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning. Pay Range: The expected monthly pay for this position is $20,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from New York City (domestic travel only). The deadline to apply for this opportunity is Friday, July 31 at 11:59pm ET. For questions about the process, please review our Campus FAQs. Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com. Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/.", "summaryDescription" : "Central Equity Quant Research (CEQR) Intern (Summer 2027) at Walleye Capital. Skills: Quantitative analysis, Data analysis, Programming, AI/LLM application. Conduct quantitative research. 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The successful candidate will perform diode laser absorption measurements in the NASA Ames Electric Arc Shock Tube (EAST) Facility. Measurement data will be analyzed to obtain temperatures and number densities of species in air shocks from Mach 10-30. The pay rate for this position will be $29.50-$33.50 per hour and is commensurate with experience and education. Responsibilities will include: • Perform research on assigned topic for period of 10 weeks • Regular reporting (verbal and/or written) to research mentor on progress of project • Present final results to division at completion of project Requirements: • Candidates currently enrolled in an accredited university are highly preferred • Excellent written and verbal communication skills are required • Progress toward a degree (Undergraduate or graduate) in technical areas of relevance to entry systems • Only candidates currently authorized to work in the US will be accepted (no visa sponsorship) • Foreign National applicants from NASA's designated country list are not eligible o (https://www.nasa.gov/wp-content/uploads/2018/02/designated_country_list_6.10.2022.pdf) Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options. AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at [www.ama-inc.com/careers](https://www.ama-inc.com/careers) and follow us on [Facebook](https://www.facebook.com/AnalyticalMechanicsAssociatesInc) and [LinkedIn](https://www.linkedin.com/company/67029/admin/feed/posts/). AMA is an Affirmative Action/Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.", "summaryDescription" : "Intern - Aerothermodynamics at Analytical Mechanics Associates. Skills: Aerothermodynamics, Research, Data analysis. 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This internship is ideal for students passionate about healthcare and research. You’ll gain hands-on experience in systematic literature reviews, health economics, and evidence-based analysis while contributing to real-world client deliverables. Key Responsibilities: Assist with systematic literature reviews and evidence synthesis across a range of healthcare topics Contribute to the design and implementation of health economic models Help interpret and communicate both quantitative and qualitative findings to internal and external stakeholders Support the development of memos, reports, evidence tables, presentations, and peer-reviewed publications Participate in client-facing meetings and provide administrative support for ongoing projects Collaborate with leadership to enhance internal workflows and operational efficiency Research and recommend optimal methodologies and implementation strategies Maintain and update tools and documentation to align with best practices Qualifications: Currently enrolled in an undergraduate or graduate program (preferred) in a healthcare-related field Demonstrated interest in healthcare research, health policy or economics Experience in research areas such as economics, public policy, epidemiology, public health, or operations research Strong attention to detail and excellent time management skills Ability to work independently and collaboratively within a team Eagerness to learn and share knowledge Excellent written and verbal communication skills Strong analytical, organizational and critical thinking skills Solid academic performance Proficiency in Microsoft Office Suite Formal training in quantitative and/or qualitative research methodologies Familiarity with statistical programming tools such as R, SAS, or similar platforms Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.", "summaryDescription" : "Intern, Health Economics and Outcomes Research (Fall Term) at Precision Medicine Group. Skills: Health economics, Outcomes research. Assist with systematic literature reviews. 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Hodonín, Czech Republic; Kroměříž, Czech Republic; Nový Jičín, Czech Republic; Uherské Hradiště, Czech Republic; Vsetín, Czech Republic; Zlín, Czech Republic", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AI tools, ChatGPT, Gemini, Canva", "professionalSkills" : [ "Content creation", "Internal communications", "Storytelling" ], "hardSkillsList" : [ "Content editing", "Information gathering", "Content structuring" ], "hardSkills" : [ { "name" : "Content editing", "level" : "intermediate" }, { "name" : "Information gathering", "level" : "intermediate" }, { "name" : "Content structuring", "level" : "intermediate" } ], "majorSkills" : "Internal communications, Content creation, Storytelling", "majorSkillsList" : [ "Internal communications", "Content creation", "Storytelling" ], "coreResponsibilities" : "Draft and edit internal communication materials, Research initiatives, Gather input from teams, Conduct interviews with employees, Support internal/external storytelling, Gather inputs for Great Place to Work, Organize materials for Great Place to Work, Support content development for Great Place to Work", "teamCollaboration" : "Collaborating with teams across the organization", "domainKnowledge" : "Cybersecurity", "domainList" : [ "cybersecurity" ], "domainSpecificKnowledge" : [ "Cybersecurity" ], "toolProficiency" : [ "ChatGPT", "Gemini", "Canva" ], "communicationSkills" : "Company-wide announcements; Intranet content; Employee interviews", "documentationSkills" : "Intranet articles", "continuousLearning" : "1:1 mentorship; Training and Development opportunities; Leadership speaker series", "qualificationsBasic" : "Professional-level English proficiency, Experience writing and editing long-form content, Ability to research topics, Gather input from multiple sources, Translate information into clear, structured content, Practical familiarity with AI tools", "qualificationsPreferred" : "Bilingual or near-native English fluency is a plus, Hands-on experience with basic design tools is a plus", "remoteFriendly" : false, "rawDescription" : "Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As Internal Communications Intern, you will create and contribute to content in a variety of formats, from company-wide announcements and intranet content to storytelling-focused employee interviews published both internally and on our external careers blog. You will work on real internal communications shared across the company and support key initiatives such as our participation in Great Place to Work, a global authority that evaluates workplace culture and recognizes top-performing companies. You will learn how to turn complex information into clear, engaging content while collaborating with teams across the organization. This internship offers the opportunity to start in a global role and gain meaningful, hands-on experience early in your career. What will you do? Draft and edit internal communication materials, including company-wide announcements, intranet articles, and employee stories Research initiatives and gather input from teams across the company to turn information into clear, structured content Conduct interviews with employees and stakeholders to support internal/external storytelling and content creation Contribute to projects such as Great Place to Work by gathering inputs, organizing materials, and supporting content development What skills and knowledge will you bring? Professional-level English proficiency with strong writing ability; bilingual or near-native fluency is a plus Experience writing and editing long-form content such as articles, interviews, or similar editorial formats Ability to research topics, gather input from multiple sources, and translate information into clear, structured content Practical familiarity with AI tools (e.g., ChatGPT, Gemini) for content creation and research Hands-on experience with basic design tools (e.g., Canva) is a plus Our global internship program trains the next-generation of cybersecurity talent across a range of specializations, from threat intelligence to information security, engineering and marketing. Interns can learn about the network security industry from leading thinkers, grow their professional networks, and be part of a career-defining experience including: 1:1 mentorship The opportunity to expand your knowledge and work on challenging projects Training and Development opportunities Connections to other recent grads, and employees across the company Leadership speaker series where you can learn about other areas of the business and ask questions to the senior leadership team and industry experts Fun events! Why SentinelOne? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U. S. based roles.", "summaryDescription" : "Internal Communications Intern at SentinelOne. Skills: Internal communications, Content creation, Storytelling. Draft and edit internal communication materials. 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You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. # **A Day in the Life** Responsibilities may include the following and other duties may be assigned. * This is a temporary position. * Responsible for performing and supporting research for teams operating within a service group, or product group and/ or project group. * Assists with the development, monitoring, coordination and implementation of technical projects as assigned. * Provides analysis, reporting and internal communication services with team members. * Develops knowledge of industry and organizational processes. **OFFICE SUPPORT CAREER STREAM:** Individual contributors who provide organizational related support or service (administrative or clerical) for other members within the organization. The majority of time is spent in the delivery of support services or activities, typically under supervision. **DIFFERENTIATING FACTORS** **Autonomy:** Entry-level position typically requiring little to no prior experience. Works on well-defined administrative and clerical tasks. Work is routine or follows standard procedures and is closely supervised. **Organizational Impact:** Works to deliver on day-to-day objectives with some impact on achievement of results for the job area, including limited disruption or expense. Delivers job responsibilities following a defined standard output or set of procedures. **Innovation and Complexity:** Provides data and information when minor changes may be required based on review. Problems faced are routine and solutions clearly prescribed. **Communication and Influence:** Communicates with contacts typically within immediate job area. Obtains and provides information requiring little explanation or interpretation. **Leadership and Talent Management:** N/A – Job at this level are focused on self-development. **Required Knowledge and Experience:** Requires no or little job knowledge of systems and procedures. 0 years of experience required. Baccalaureate degree enrollment or Master's degree admissions required. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A). **Physical Job Requirements** The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. # **Benefits & Compensation** **Medtronic offers a competitive Salary and flexible Benefits Package** A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. # **About Medtronic** # We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity [here](http://www.medtronic.com)", "summaryDescription" : "IT iNTERN at Medtronic. Perform research for teams. 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What if your adventure started with us ?! Whatever your dream job, we might have the Internship for you ! Are you a fresh graduate looking for an opportunity that will launch your career? Imagine yourself at the heart of an internationally recognized company, established on every continent, and rich in diverse backgrounds, expertise, and cultures. Focused on digital and at the forefront of research and innovation, you have the opportunity to be part of this exciting adventure. Your mission: An internship opportunity titled _Avionics System Testing and Analytics Intern_ has just opened at Airbus India located in Bengaluru. You will join the Integration and Flight Test Analysis department in charge of Integration and Flight test. Ideally, this is a 6-month program and it should start in June 2026 (date subject to flexibility). As an Intern, you will use Python and other programming languages to build tools that organize flight data and create 3D visuals to help our team review missions. You will assist senior engineers by testing systems, identifying technical issues, and exploring how AI can improve our efficiency and help us solve problems faster. With dedicated mentorship, you’ll bridge the gap between advanced coding and aviation technology to launch your professional career. **Your Boarding Pass: You are pursuing a technical Under Graduate or Post Graduate degree in Aerospace Engineering (specialization in AI/ML preferred)** **Eligibility Criteria:** * This program is exclusively for candidates with no prior full-time professional work experience. (Academic projects are excluded from this and are welcome). * Ability to commit to the full 6-month duration of the Internship. **You possess the following competences:** * Proficiency in Python and a solid grasp of programming logic, data handling, and AI basics. * A sharp analytical mindset to debug code and learn aerospace standards. * Strong communication skills and a passion for collaborating on aviation technology. **Language skills :** * English : negotiation / fluent This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. ********Company:******** Airbus India Private Limited **Employment Type:** Internship \\------- **Experience Level:** Student **Job Family:** Customer Flight/Mission & Ops Support By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [emsom@airbus.com](mailto:emsom@airbus.com). At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.", "summaryDescription" : "Avionics System Testing - Intern at Airbus India Private Limited. Skills: System Testing, Analytics. Build tools to organize flight data. 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The selected intern will be hired by Kelly Services. Synopsis As the Product Marketing Intern, you will be responsible for supporting the product and marketing teams by assisting in product positioning in identified markets and creating marketing strategies and content for promoting the product solutions. This is not your average internship. You will play an integral part in bringing our Ethernet solutions to interesting applications you may not have known existed. Responsibilities Gather market research and competitive analysis to assist Product Management initiatives Assist with constructing product marketing campaigns and content for product promotional literature Assist in the design and development of content for product manuals, data sheets, brochures, etc. in both print and web-based formats Assist with product training content Coordinate and drive initiatives to enhance the user interfaces and experiences across our brand, for both product and content Coordinate with marketing in finalizing marketing, technical, promotional and PR material required for product launches Contribute to team effort by accomplishing special projects as needed. Requirements Actively enrolled in a four-year college/university Self-starter with a record of accomplishment and a passion for learning Ability to manage multiple complex projects Technical aptitude with a creative mind Experience with Photoshop, Illustrator & InDesign is a plus Strong interpersonal skills and ability to work effectively in a team Strong verbal and written communication skills Understanding of communication technology preferred but not required Internship Benefits Able to prove your Product and Marketing skills with relevant job experience Gain experience in the Internet of Things, very popular with Tech companies Apply Technology and Creative Expertise with Real world customer applications Be a part of next generation communication infrastructure Earn a fair wage while learning Perfect first step toward a Product Manager, Product Marketing or Project Manager Have Fun (Required) About EtherWAN Systems, Inc You see EtherWAN every day and probably don’t know it. We can be found at almost every intersection in the silver cabinet that controls the traffic lights. EtherWAN connects all these intersections to help improve the flow of traffic. This will become hugely important once 5G and autonomous vehicles go mainstream. EtherWAN’s core focus is on Ethernet connectivity for extreme environments with stringent product reliability requirements. EtherWAN’s product development, engineering, manufacturing and quality assurance processes are structured to push the limits of stated specifications resulting in products that continually exceed expectations. Phoenix Contact is committed to the diversity of our employees. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information. If you need special accommodations to access job openings or to apply for a job, please call 717-944-1300 between the hours of 8 AM and 5 PM, Eastern Standard Time, Monday – Friday or email HR@phoenixcontact.com. Notice to Staffing Agencies, Placement Services, and Professional Recruiters: Phoenix Contact has an internal Staffing Department. Recruiters are hereby specifically directed NOT to contact Phoenix Contact employees directly in an attempt to present candidates. Phoenix Contact will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Phoenix Contact, including unsolicited resumes sent to a Phoenix Contact mailing address, fax machine or email address, directly to Phoenix Contact employees, or to Phoenix Contact’s resume database will be considered Phoenix Contact property. Phoenix Contact will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Phoenix Contact will consider any candidate for whom a Recruiter has submitted an unsolicited resume to have been referred by the Recruiter free of any charges or fees. Phoenix Contact will not pay a fee to any Recruiter that does not have a signed Phoenix Contact contract in place specific to the position for which the resume was submitted. Recruiting vendor agreements will only be valid if in writing and signed by Phoenix Contact's Head of People & Organization or his or her designee. No other Phoenix Contact employee is authorized to bind Phoenix Contact to any agreement regarding the placement of candidates by Recruiters. By submitting a candidate to Phoenix Contact, recruiters agree to be bound and comply with this policy.", "summaryDescription" : "Marketing Intern at EtherWAN. Skills: Product marketing, Content creation, Market research. Assist in product positioning. Create marketing strategies", "postedDate" : "2026-06-11T22:10:30.536", "createdAt" : "2026-06-11T22:10:30.536", "lastUpdated" : "2026-06-14T20:13:13.037", "ingestTimestamp" : "2026-06-11T22:10:30.536", "mongoId" : "6a2a5b7a74d8ee00a0610c98", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Market research", "Competitive analysis", "Content development", "Product training", "Interpersonal skills", "Creative mind", "Product marketing", "Content creation", "Product positioning", "Marketing strategies", "Product management", "Ethernet connectivity", "Extreme environments", "Internet of Things" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "internship", "dataQualityScore" : 1.0, "_score" : 610.3776, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a817374d8ee00a0670470", "title" : "Merchandising Intern", "company" : "Four Hands", "industry" : "Furniture", "salary" : { "min" : 36000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an entry-level Merchandising Intern in Austin, TX, adjusted for company size and industry." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-14T02:40:55.869", "fingerprint" : "221eba2f1a1673e577e34578a8dd2d1e8a3f0c6009da99caab6715d221c27b42", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fourhands/jobs/4272023009", "externalId" : "4272023009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Excel", "professionalSkills" : [ "Product analysis", "Market research", "Merchandising strategy", "Product development", "Product data", "Buying", "Planning" ], "hardSkillsList" : [ "Costing", "Pricing", "Dimensions", "Fabric", "Site information" ], "hardSkills" : [ { "name" : "Costing", "level" : "intermediate" }, { "name" : "Pricing", "level" : "intermediate" }, { "name" : "Dimensions", "level" : "intermediate" }, { "name" : "Fabric", "level" : "intermediate" }, { "name" : "Site information", "level" : "intermediate" } ], "majorSkills" : "Merchandising, Product analysis, Market research", "majorSkillsList" : [ "Merchandising", "Product analysis", "Market research" ], "coreResponsibilities" : "Assist Merchant Team with audits, Audit new information, Audit existing information, Work closely with Merchant team on ad hoc, Prepare presentations for internal deliverables, Prepare presentations for external deliverables, Participate in cross-functional project teams, Help with process improvements, Perform research of market competitor assortments, Perform analysis of market competitor assortments, Perform research of market competitor pricing, Perform analysis of market competitor pricing, Support in analyzing current trends, Support in analyzing future trends, Inform Four Hands product strategy, Perform other duties as assigned", "teamCollaboration" : "Cross-functional project teams", "domainKnowledge" : "Furniture industry", "domainList" : [ "furniture-industry" ], "domainSpecificKnowledge" : [ "Furniture industry" ], "toolProficiency" : [ "Vlookups", "Pivot Table" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Pursuing degree in merchandising, Pursuing degree in supply chain management, Pursuing degree in business, Pursuing degree in related field", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join one of the fastest growing, most dynamic companies in the furniture industry. For over 25 years, Four Hands has been a leading designer and wholesaler of furniture and décor, helping people create spaces that feel like home. Recognized on the Inc. 5000 list of fastest-growing companies and named one of Austin’s Top Workplaces year after year. We invest in exceptional people — with a team of over 800 and growing — fostering our employees’ careers and celebrating them at every step of the way. Four Hands is where passion meets purpose and where your next chapter begins. As a Merchandising Intern, you’ll work closely with the Merchant team to support product analysis, reporting, and market research. This role provides hands-on experience with cross-functional projects, helping you develop a strong understanding of merchandising strategy and the furniture industry at Four Hands. This position is expected to start September 2026 and continue through the entire Fall 2026 term (through December 2026). Our internships are a minimum of 12 weeks, part-time (20 to 25 hours) and on-site. In This Role Assist Merchant Team with audits on new and existing information including costing, pricing, dimensions, fabric, and site information in various internal systems Work closely with Merchant team on ad hoc reporting and presentations for both internal and external deliverables Participate in cross-functional project teams to help with process improvements related to Merchandising, Product Development, Product Data, Buying & Planning Perform research and analysis of market competitor’s assortments and pricing as designated by Merchant team Support in analyzing current and future trends in the furniture industry to help inform Four Hands product strategy Other duties as assigned, in accordance with training and qualifications Uphold the Core Values and be a valuable member of the Four Hands Team Be open and honest Reach for excellence Act with responsibility Value the whole person Enjoy the journey The Ideal Person Currently pursuing a degree in merchandising, supply chain management, business, or related field Knowledge of Excel (Vlookups, Pivot Table, etc.) About Four Hands Headquartered in Austin, Texas, since 1996, Four Hands crafts furniture, art and décor — pieces that are all about creating space. Timeless, thoughtful designs with endless possibilities. Pieces meant to be experienced and form a whole that feels like home. Our trade customers range from interior designers to large retailers who rely on our expertise to grow and guide their business to success. We treat our partners as part of the Four Hands family, championing them and rooting for their every win. And, we are constantly pursuing better — from sourcing the finest materials and finishes to seeking fresh inspiration to elevate our designs — we are never settled, never done. Four Hands is an Equal Opportunity Employer. Four Hands recruits qualified applicants and advances in employment its employees without regard to race, color, religion, sex, gender, sexual orientation, gender identity, gender expression, age, disability, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. Visit www.FourHands.com for more information.", "summaryDescription" : "Merchandising Intern at Four Hands. Skills: Merchandising, Product analysis, Market research. Assist Merchant Team with audits. Audit new information", "postedDate" : "2026-06-11T21:28:51.987", "createdAt" : "2026-06-11T21:28:51.987", "lastUpdated" : "2026-06-14T02:40:55.869", "ingestTimestamp" : "2026-06-11T21:28:51.987", "mongoId" : "6a2a817374d8ee00a0670470", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Costing", "Pricing", "Dimensions", "Fabric", "Site information", "Merchandising", "Product analysis", "Market research", "Merchandising strategy", "Product development", "Product data", "Buying", "Planning", "Furniture industry", "Vlookups", "Pivot Table" ], "skillCount" : 16, "jobCategory" : "other", "jobSubcategory" : "internships", "dataQualityScore" : 1.0, "_score" : 606.89404, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Furniture" }, { "id" : "6a2c5ddf74d8ee00a08df2d6", "title" : "Quantic - PhD Quantitative Researcher Intern (Summer 2027)", "company" : "Walleye Capital", "industry" : "Financial Services", "salary" : { "min" : 20000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T00:27:57.063", "fingerprint" : "d68017c232568f5d3dcacf1b14f69e2968b7c2c180cbcf609ba8d725da17f4b8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/walleyecapital-external-students/jobs/4679184006", "externalId" : "4679184006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "PhD", "technicalSkills" : "Python, R, SQL, Spark, dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Portfolio optimization", "Trading strategies", "Risk management", "Systematic investing", "Financial markets" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Optimization", "Time-series analysis", "Data analysis", "Predictive modeling" ], "softSkillsList" : [ "Curious", "Creative", "Initiative", "Teamwork", "Intellectual humility", "Continuous learning" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Creative" }, { "name" : "Initiative" }, { "name" : "Teamwork" }, { "name" : "Intellectual humility" }, { "name" : "Continuous learning" } ], "majorSkills" : "Quantitative research, Machine learning, Data analysis", "majorSkillsList" : [ "Quantitative research", "Machine learning", "Data analysis" ], "coreResponsibilities" : "Research predictive signals, Design predictive signals, Test predictive signals, Research data sets, Design data sets, Test data sets, Research trading strategies, Design trading strategies, Test trading strategies, Extract large datasets, Analyze large datasets, Apply statistical methods, Apply computational methods, Enhance research infrastructure, Enhance trading tools, Enhance risk management tools, Enhance attribution tools, Develop machine learning models, Predict asset returns, Predict portfolio risks, Predict trading costs, Design scalable code, Implement scalable code, Work in Python, Work in R, Contribute to research tools, Contribute to research libraries, Leverage AI tools, Enhance processes with LLMs, Enhance analyses with LLMs", "teamCollaboration" : "Tight-knit group; Cross-disciplinary exchange; Collaborative culture", "domainKnowledge" : "Quantitative trading; Financial markets; Systematic investing; AI/LLM application; Options market making; Volatility strategies; Global equities; Options; Futures", "domainList" : [ "quantitative-trading", "financial-markets", "systematic-investing", "ai-llm-application", "options-market-making", "volatility-strategies", "global-equities", "options", "futures" ], "domainSpecificKnowledge" : [ "Quantitative trading", "Financial markets", "Systematic investing", "AI/LLM application", "Options market making", "Volatility strategies", "Global equities", "Options", "Futures" ], "toolProficiency" : [ "LLM" ], "continuousLearning" : "Continuous self-reflection; Continuous growth", "innovationCreativity" : "Creativity; Initiative; Innovation", "problemSolvingSkills" : "Complex problems", "outcomesObjectives" : "Impact trading profits; Elevate capabilities", "workSiteFlexibility" : "Onsite", "rawDescription" : "Position: Quantic - PhD Quantitative Researcher Intern (Summer 2027) Location: Boston, MA Please apply to only one opportunity between the Quantitative Developer, Quantitative Researcher and PhD Quantitative Researcher positions with Quantic. If the team finds you could be a potential fit for the other, we will contact you. Firm Overview: Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Quant, Fundamental Equities, and Volatility strategies. Our Team Overview: Walleye Capital is seeking highly quantitative and creative PhD Quantitative Researcher Interns to work in the rapidly growing Quantic team based out of Boston. Quantic is Walleye’s principal quantitative investment business, established in 2016 as one of its core investment strategies. Quantic has subsequently evolved into one of the most successful trading teams in the industry. We are a tight-knit, collaborative, and intellectually rigorous group of scientists, engineers, and traders leveraging advanced statistical modeling techniques to identify and capitalize on profitable trading opportunities in global equities, options, and futures. What sets Quantic apart is our pragmatic, engineering-driven culture, where achieving goals—and achieving them the right way—takes precedence. We foster collaboration among colleagues, confident that the best ideas arise through cross-disciplinary exchange. Our commitment to continuous self-reflection and growth drives us to build the strongest possible platform for our team's future success. We are seeking talented researchers to help elevate our capabilities and join us on this journey. This role offers the opportunity to engage directly with cutting-edge data analysis, portfolio optimization, platform development, and operation of fully automated trading systems. You will join a team where your creativity, initiative, and teamwork will make direct impacts on trading profits for our investors. We invite researchers with a proven record of innovation and achievement in their fields to apply. Position Overview: As a Quantic Intern, you’ll work directly with experienced team members on meaningful projects that impact trading strategies and operations. You’ll have the opportunity to work on high-impact initiatives and develop your skills in a dynamic setting where innovation, teamwork, and talent drive success. We are seeking students with strong technical backgrounds (e.g., mathematics, statistics, computer science, or engineering), demonstrated initiative, and an interest in quantitative trading and research. Successful interns are curious, collaborative, and eager to tackle complex problems in a fast-paced, supportive environment. The internship is 10 weeks in length and will take place in Boston from June to August 2027. Responsibilities: Research, design, and test predictive signals, data sets, and systematic trading strategies. Extract and analyze large datasets from structured and unstructured sources, applying advanced statistical and computational methods. Enhance research infrastructure and tools for trading, risk management and attribution. Develop machine learning models to predict patterns in asset returns, risks, trading costs, or other portfolio-relevant variables. Design and implement scalable code across various stages of the investment process. Work in Python and/or R, with opportunities to contribute to research tools and libraries. Leverage AI tools including LLM-based analytical pipelines to enhance processes and analyses. We seek individuals who: Are pursuing a PhD degree in computer science, engineering, statistics, operations research, mathematics, or a related field, with an expected graduation date between December 2027 and June 2028. Possess strong programming skills—particularly in Python or R—and hold experience working with large datasets, APIs, or databases. Demonstrate rigorous analytical thinking, statistical modeling abilities, and familiarity with techniques from machine learning, optimization, or time-series analysis. Are self-starters who enjoy digging into complex, open-ended problems and can work both independently and collaboratively with a team. Exhibit a genuine interest in financial markets, systematic investing, AI/LLM application, and using technology in dynamic, data-rich environments. Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity, improve processes, and generate investment alpha. Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning. Pay Range: The expected monthly pay for this position is $20,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from Boston (domestic travel only). The deadline to apply for this opportunity is Friday, October 30 at 11:59pm ET. For questions about the process, please review our Campus FAQs. Please apply to only one opportunity between the Quantitative Developer, Quantitative Researcher and PhD Quantitative Researcher positions with Quantic. If the team finds you could be a potential fit for the other, we will contact you. Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com. Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/.", "summaryDescription" : "Quantic - PhD Quantitative Researcher Intern (Summer 2027) at Walleye Capital. Skills: Quantitative research, Machine learning, Data analysis. Research predictive signals. Design predictive signals", "postedDate" : "2026-06-12T21:55:00.303", "createdAt" : "2026-06-12T21:55:00.303", "lastUpdated" : "2026-06-15T00:27:57.063", "ingestTimestamp" : "2026-06-12T21:55:00.303", "mongoId" : "6a2c5ddf74d8ee00a08df2d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 240000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning", "Optimization", "Time-series analysis", "Data analysis", "Predictive modeling", "Curious", "Creative", "Initiative", "Teamwork", "Intellectual humility", "Continuous learning", "Quantitative research", "Quantitative analysis", "Portfolio optimization", "Trading strategies", "Risk management", "Systematic investing", "Financial markets", "Quantitative trading", "AI/LLM application", "Options market making", "Volatility strategies", "Global equities", "Options", "Futures", "LLM" ], "skillCount" : 27, "jobCategory" : "other", "jobSubcategory" : "quantic", "dataQualityScore" : 0.8888889, "_score" : 605.59503, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2aa4ad74d8ee00a06b2927", "title" : "Legal Intern", "company" : "SentinelOne", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level legal interns in Frýdek-Místek, Czech Republic, adjusted for the cybersecurity industry and company size." }, "location" : "Czech Republic", "locations" : [ "Czech Republic" ], "timestamp" : "2026-06-14T21:45:59.990", "fingerprint" : "25606ec798ea674918a8cecc169c9220af2da2f4b16bdc8141d8e98404974650", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.sentinelone.com/jobs/7766961003?gh_jid=7766961003", "externalId" : "7766961003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Frýdek-Místek", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6856350,18.3483416" }, { "city" : "Hodonín", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8563914,17.1234655" }, { "city" : "Kroměříž", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.2984191,17.3929804" }, { "city" : "Nový Jičín", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.5948810,18.0102584" }, { "city" : "Uherské Hradiště", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.0681018,17.4663899" }, { "city" : "Vsetín", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.3389775,17.9961534" }, { "city" : "Zlín", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.2267660,17.6667415" } ], "locationText" : "Frýdek-Místek, Czech Republic; Hodonín, Czech Republic; Kroměříž, Czech Republic; Nový Jičín, Czech Republic; Uherské Hradiště, Czech Republic; Vsetín, Czech Republic; Zlín, Czech Republic", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Legal research", "Legal analysis", "Regulatory compliance", "Contract negotiation", "Policy drafting", "Legal document review" ], "hardSkillsList" : [ "AI application" ], "softSkillsList" : [ "Relentlessly curious", "Continuous learning", "Attention to detail", "Organizational skills" ], "hardSkills" : [ { "name" : "AI application", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Relentlessly curious" }, { "name" : "Continuous learning" }, { "name" : "Attention to detail" }, { "name" : "Organizational skills" } ], "majorSkills" : "EU regulatory frameworks, Legal research, Contract negotiation", "majorSkillsList" : [ "EU regulatory frameworks", "Legal research", "Contract negotiation" ], "coreResponsibilities" : "Carry out project on EU regulatory frameworks, Support legal matters, Conduct legal research, Review contracts, Assist with negotiating contracts, Draft policies, Review policies, Draft legal documents, Review legal documents, Prepare legal documents for filings", "teamCollaboration" : "Cross-functional teams; Legal team support", "domainKnowledge" : "EU regulatory frameworks; Cybersecurity; Artificial intelligence", "domainList" : [ "eu-regulatory-frameworks", "cybersecurity", "artificial-intelligence" ], "domainSpecificKnowledge" : [ "EU regulatory frameworks", "Cybersecurity", "Artificial intelligence" ], "documentationSkills" : "Drafting policies; Reviewing policies; Drafting legal documents; Reviewing legal documents", "continuousLearning" : "Build fluency in AI tools; Build fluency in AI concepts; Training and Development opportunities; Leadership speaker series", "problemSolvingSkills" : "Research; Analytical skills", "qualificationsBasic" : "Currently enrolled in law school, Excellent command of English, Excellent academic record, Excellent research skills, Excellent analytical skills, AI application skills", "qualificationsPreferred" : "AI skilled, Tech-savvy, Demonstrated interest in technology, Demonstrated interest in cybersecurity, Demonstrated interest in AI trends", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As Legal Intern, you will self-dependently carry out a project around EU regulatory frameworks as relevant for our company and work closely with members of our legal team to support various legal matters including commercial, corporate, product, privacy, employment and litigation. We are seeking a motivated, AI skilled, tech-savvy and passionate law student to join our team. This position offers an exciting opportunity for an individual who would like to experience in-house legal counsel work in a public company and are interested in learning more about the intersection of law, technology and artificial intelligence, particularly in the field of cybersecurity. If you thrive in dynamic, collaborative, and hands-on environments, then this internship is for you. What Will You Do? Work on dedicated projects with different legal teams. Assist the legal team in conducting legal research on different legal and regulatory compliance matters. Review and assist with negotiating various contracts and agreements. Support the legal team in drafting and reviewing policies, privacy notices, and other legal documents. Collaborate with cross-functional teams, including R&D, Product, Compliance, and Infosec on various legal matters. Assist in the preparation of legal documents for regulatory filings. What Skills and Knowledge Will You Bring? Currently enrolled in an accredited law school program Excellent command of English Strong academic record Excellent research, analytical and AI application skills Ability to work independently and collaboratively in a fast-paced environment. Demonstrated interest in technology, cybersecurity, and emerging trends in the tech industry, in particular around artificial intelligence. Strong attention to detail and organizational skills. Why SentinelOne? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. Our global internship program trains the next-generation of cybersecurity talent across a range of specializations, from threat intelligence to information security, engineering and marketing. Interns can learn about the network security industry from leading thinkers, grow their professional networks, and be part of a career-defining experience including: 1:1 mentorship Flexible working hours adjusted to your academic schedule (20 hours/week, 4-month program: October 5, 2026 - January 29, 2027) The opportunity to expand your knowledge and work on challenging projects Training and Development opportunities Connections to other recent grads, and employees across the company Leadership speaker series where you can learn about other areas of the business and ask questions to the senior leadership team and industry experts Fun events! SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U. S. based roles.", "summaryDescription" : "Legal Intern at SentinelOne. Skills: EU regulatory frameworks, Legal research, Contract negotiation. Carry out project on EU regulatory frameworks. Support legal matters", "postedDate" : "2026-06-11T20:31:59.908", "createdAt" : "2026-06-11T20:31:59.908", "lastUpdated" : "2026-06-14T21:45:59.990", "ingestTimestamp" : "2026-06-11T20:31:59.908", "mongoId" : "6a2aa4ad74d8ee00a06b2927", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "AI application", "Relentlessly curious", "Continuous learning", "Attention to detail", "Organizational skills", "EU regulatory frameworks", "Legal research", "Contract negotiation", "Legal analysis", "Regulatory compliance", "Policy drafting", "Legal document review", "Cybersecurity", "Artificial intelligence" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "53000-legal", "dataQualityScore" : 1.0, "_score" : 598.3822, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a709474d8ee00a06470b6", "title" : "Research Engineer", "company" : "Irregular", "industry" : "R&D", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Research Engineer in Tel Aviv, Israel, adjusted for the technology industry." }, "location" : "Tel Aviv", "locations" : [ "Tel Aviv" ], "timestamp" : "2026-06-13T01:57:58.049", "fingerprint" : "67d1288cf24e4ba396ea41dc55c9fee78a7bbc54f2798c01b066e1d380ca52ea", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Irregular/7e8a2432-0ed7-4fd7-8bcd-d0d89db663b3/application", "externalId" : "7e8a2432-0ed7-4fd7-8bcd-d0d89db663b3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv, Israel", "employmentType" : "FULL_TIME", "technicalSkills" : "AI, Python, Machine Learning", "professionalSkills" : [ "System design", "Security research" ], "hardSkillsList" : [ "Agent frameworks", "Evaluation pipelines", "Testing frameworks" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Agent frameworks", "level" : "intermediate" }, { "name" : "Evaluation pipelines", "level" : "intermediate" }, { "name" : "Testing frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "AI security, Research platforms, Frontier AI", "majorSkillsList" : [ "AI security", "Research platforms", "Frontier AI" ], "coreResponsibilities" : "Build systems to evaluate AI models, Secure frontier AI models, Assess model capabilities, Implement agent frameworks, Develop mitigations for AI systems, Create evaluation pipelines, Develop security testing frameworks, Build tools to understand risks, Build tools to mitigate risks, Evaluate models continuously, Mitigate model risks, Design APIs for labs, Build analysis tools, Build visualization tools, Design challenges to measure evasion, Develop controlled environment frameworks, Build agents to complete tasks, Incorporate SOTA prompting, Create tools for task delegation, Publish research, Deliver research to customers", "teamCollaboration" : "Multidisciplinary team", "domainKnowledge" : "AI systems; Frontier AI models; AI security; Cybersecurity", "domainList" : [ "ai-systems", "frontier-ai-models", "ai-security", "cybersecurity" ], "domainSpecificKnowledge" : [ "AI systems", "Frontier AI models", "AI security", "Cybersecurity" ], "innovationCreativity" : "R&D", "problemSolvingSkills" : "Problem-solving; Analytical skills", "qualificationsBasic" : "Production programming skills, Problem-solving skills, Analytical skills", "qualificationsPreferred" : "Machine learning experience, Cybersecurity experience", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Irregular Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios. As AI systems become more powerful, we focus on staying ahead of emerging threats and vulnerabilities, ensuring these transformative technologies can be deployed safely and securely. About the Role As a research engineer at Irregular, you'll be at the forefront of building systems to evaluate and secure frontier AI models. You'll work on infrastructure and experiments to assess model capabilities, implement agent frameworks, and develop mitigations for advanced AI systems. Your role will involve creating robust evaluation pipelines, developing security-focused testing frameworks, and building tools that help understand and mitigate risks related to frontier models. You’ll have a chance to understand the research context and your code’s impact and contribute as a meaningful part of a growing team. Representative projects: - Building a tool to continuously evaluate models and mitigate their risks. From designing the APIs for frontier labs, to building analysis and visualization tools that summarize 10,000+ transcripts into specific conclusions. - Designing and building challenges that measure a model’s ability to evade discovery, allowing us to see if models can operate on remote systems while avoiding detection by common defensive security tools. - Developing controlled environment frameworks for more secure use of frontier models. - Designing and building agents that improve a model’s ability to complete complex tasks. Includes many potential avenues, such as incorporating SOTA prompting practices, creating tools for task delegation, and more. - Publishing your research and/or delivering research to our customers. You may be a good fit if you: - Have strong production programming skills and experience. - Have strong problem-solving and analytical skills. - Work well in a multidisciplinary team and can adapt to rapidly evolving challenges. - Are interested in AI and cybersecurity (experience in machine learning or cybersecurity is a plus but not necessary). - Care about the societal impacts of your work.", "summaryDescription" : "Research Engineer at Irregular. Skills: AI security, Research platforms, Frontier AI. Build systems to evaluate AI models. Secure frontier AI models", "postedDate" : "2026-06-11T17:05:39.186", "createdAt" : "2026-06-11T17:05:39.186", "lastUpdated" : "2026-06-13T01:57:58.049", "ingestTimestamp" : "2026-06-11T17:05:39.186", "mongoId" : "6a2a709474d8ee00a06470b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agent frameworks", "Evaluation pipelines", "Testing frameworks", "Adaptability", "AI security", "Research platforms", "Frontier AI", "System design", "Security research", "AI systems", "Frontier AI models", "Cybersecurity" ], "skillCount" : 12, "jobCategory" : "other", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 596.44855, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a265de274d8ee00a0220ac8", "title" : "Legal Intern", "company" : "Jabil", "industry" : "Manufacturing", "salary" : { "min" : 48000.0, "max" : 72000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Legal Intern in Shanghai, China, adjusted for the manufacturing industry and part-time employment." }, "location" : "Shanghai", "locations" : [ "Shanghai", "China" ], "timestamp" : "2026-06-12T16:45:55.692", "fingerprint" : "769eef8464bcf5982ee53b04dc85fcdc9cf556fce9d480116bcadf10a4adacdf", "source" : "workday", "language" : "en", "applyUrl" : "https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Shanghai/Legal-Intern_J2452792", "externalId" : "J2452792", "industryFunction" : { }, "locationPoint" : "31.22222,121.45806", "structuredLocations" : [ { "city" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2312707,121.4700152" } ], "locationText" : "Shanghai, China", "employmentType" : "PART_TIME", "professionalSkills" : [ "Contract law", "Corporate governance", "Regulatory compliance" ], "hardSkillsList" : [ "Legal research", "Legal analysis", "Document drafting", "Document review", "File management", "Database organization" ], "hardSkills" : [ { "name" : "Legal research", "level" : "intermediate" }, { "name" : "Legal analysis", "level" : "intermediate" }, { "name" : "Document drafting", "level" : "intermediate" }, { "name" : "Document review", "level" : "intermediate" }, { "name" : "File management", "level" : "intermediate" }, { "name" : "Database organization", "level" : "intermediate" } ], "majorSkills" : "Legal research, Document management, Compliance", "majorSkillsList" : [ "Legal research", "Document management", "Compliance" ], "coreResponsibilities" : "Conduct legal research, Analyze legal topics, Assist with drafting, Assist with review, Assist with organization, Support attorneys in preparing, Manage legal files, Organize legal files, Manage legal databases, Organize legal databases, Manage documentation, Organize documentation, Participate in meetings, Observe legal proceedings, Assist with special projects, Assist with initiatives, Maintain confidentiality, Exercise discretion", "teamCollaboration" : "Legal team; Internal meetings", "domainKnowledge" : "Contract law; Corporate governance; Regulatory compliance", "domainList" : [ "contract-law", "corporate-governance", "regulatory-compliance" ], "domainSpecificKnowledge" : [ "Contract law", "Corporate governance", "Regulatory compliance" ], "documentationSkills" : "Legal documents", "problemSolvingSkills" : "Legal analysis", "qualificationsBasic" : "Legal research and analysis, Drafting legal documents, Review legal documents, Organize legal documents, Manage legal files, Organize legal databases, Maintain confidentiality, Exercise discretion", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. Legal Intern Job Summary Jabil Shanghai is seeking a motivated and detail-oriented Legal Intern to join our dynamic legal team. This internship offers a valuable opportunity to gain practical experience in an in-house legal department, supporting various legal functions for a leading global manufacturing solutions provider. Job Responsibilities * Conduct legal research and analysis on a variety of topics, including contract law, corporate governance, and regulatory compliance. * Assist with the drafting, review, and organization of legal documents, including contracts, policies, and presentations. * Support attorneys in preparing for meetings, presentations, and investigations. * Manage and organize legal files, databases, and other relevant documentation. * Participate in internal meetings and observe legal proceedings as appropriate. * Assist with special projects and initiatives within the legal department as needed. * Maintain confidentiality and exercise discretion in all aspects of the role. BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact your local police department. Any scam job listings should be reported to whatever website it was posted in. **Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.** # **Accessibility Accommodation** If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Always_Accessible@Jabil.com with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to. #whereyoubelong", "summaryDescription" : "Legal Intern at Jabil. Skills: Legal research, Document management, Compliance. Conduct legal research. Analyze legal topics", "postedDate" : "2026-06-10T14:39:55.794", "createdAt" : "2026-06-11T14:39:55.656", "lastUpdated" : "2026-06-12T16:45:55.692", "ingestTimestamp" : "2026-06-11T14:39:55.656", "mongoId" : "6a265de274d8ee00a0220ac8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Shanghai/Legal-Intern_J2452792", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Legal research", "Legal analysis", "Document drafting", "Document review", "File management", "Database organization", "Document management", "Compliance", "Contract law", "Corporate governance", "Regulatory compliance" ], "skillCount" : 11, "jobCategory" : "legal", "seniorityLevel" : "junior", "dataQualityScore" : 0.8888889, "_score" : 592.39886, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing" }, { "id" : "6a2a928374d8ee00a0691210", "title" : "French Legal Intern", "company" : "FeverUp", "industry" : "Live Entertainment", "salary" : { "min" : 12000.0, "max" : 18000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level French Legal Intern in Madrid, Spain, adjusted for the Technology industry and internship employment type." }, "location" : "Madrid", "locations" : [ "Madrid" ], "timestamp" : "2026-06-14T21:39:11.637", "fingerprint" : "27f19390962ba69e32dbbb353ac5cd0d94d82089833728869f9f18c199ae66c3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/feverup/jobs/4890223101", "externalId" : "4890223101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4167820,-3.7035070" }, { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Madrid, Spain; Paris, France", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Legal research", "Risk management", "Legal insight", "Regulatory alignment" ], "hardSkillsList" : [ "French legal knowledge" ], "softSkillsList" : [ "Hands-on mindset", "Practical approach" ], "hardSkills" : [ { "name" : "French legal knowledge", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Hands-on mindset" }, { "name" : "Practical approach" } ], "majorSkills" : "Legal research, Compliance issues, Document organization", "majorSkillsList" : [ "Legal research", "Compliance issues", "Document organization" ], "coreResponsibilities" : "Conduct legal research, Familiarize with labor issues, Familiarize with compliance issues, Support knowledge management, Support document organization, Provide administrative legal support", "teamCollaboration" : "Support all areas of Fever; Work with legal team", "domainKnowledge" : "French labor law; French compliance law", "domainList" : [ "french-labor-law", "french-compliance-law" ], "domainSpecificKnowledge" : [ "French labor law", "French compliance law" ], "communicationSkills" : "Effective communicator", "documentationSkills" : "Contract templates", "continuousLearning" : "Real world experience; Professional growth", "specialRequirements" : "Work full time, Possible travel", "qualificationsBasic" : "Law degree program in France, Valid tripartite internship agreement, Fluent in English, Fluent in French, Available for 6 months", "qualificationsPreferred" : "Masters in Business Law, DJCE level, CRFPA level, Additional language a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. Our results? We’ve teamed up with major industry leaders like Netflix, F. C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience? Now, let’s discuss this role and what you will do to help achieve Fever’s mission. Meet the team: As the legal team, we support all areas of Fever by offering clear advice, risk management, and legal insight that allow teams to move quickly and stay focused on what matters. We ensure alignment with local laws and regulations to support safe and compliant growth wherever Fever operates. Our team is structured in:l Intellectual Property, Mergers Conducting legal research across a variety of legal practice areas; Familiarising yourself with key labor and compliance issues related to the experience economy; Supporting knowledge management and document organization initiatives (contract templates, etc.); Providing support with administrative legal tasks. Who you are: Be enrolled in a law degree program in France (preferably Masters in Business Law, DJCE or CRFPA level) and able to provide a valid tripartite internship agreement (“Convention de stage tripartite”) through your university/IEJ/EFB; Be eager to learn through hands-on experience; Hold an excellent academic record demonstrating knowledge of French law; Be a collaborative team player and an effective communicator, with a practical mindset; Fluent in English and French (additional language a plus); Available to work full time, for 6 consecutive months starting July 2026 (with flexibility on exact start/end dates). We envisage that this role will be based in Fever’s HQ in Madrid, but are open to applicants seeking to work from our offices in Paris. No prior experience needed for this role. Why you'll love it here: Opportunity to get real world experience in a high-growth global category leader 40% discount on all Fever events and experiences. Work in a location in the heart of the city, with possible travel across our markets. Hybrid format work Responsibility from day one and professional and personal growth. Great work environment with a young, international team of talented people to work with! We have free snacks, drinks and fruit at the office! Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey. If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice", "summaryDescription" : "French Legal Intern at FeverUp. Skills: Legal research, Compliance issues, Document organization. Conduct legal research. Familiarize with labor issues", "postedDate" : "2026-06-11T21:10:26.960", "createdAt" : "2026-06-11T21:10:26.960", "lastUpdated" : "2026-06-14T21:39:11.637", "ingestTimestamp" : "2026-06-11T21:10:26.960", "mongoId" : "6a2a928374d8ee00a0691210", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "French legal knowledge", "Hands-on mindset", "Practical approach", "Legal research", "Compliance issues", "Document organization", "Risk management", "Legal insight", "Regulatory alignment", "French labor law", "French compliance law" ], "skillCount" : 11, "jobCategory" : "other", "jobSubcategory" : "legal,-grc-&-policy", "dataQualityScore" : 1.0, "_score" : 590.8511, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Live Entertainment" }, { "id" : "6a2a73d474d8ee00a0651661", "title" : "IT iNTERN", "company" : "Medtronic", "industry" : "Healthcare", "salary" : { "min" : 100000.0, "max" : 180000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level IT roles in Shanghai, adjusted for the healthcare industry and Medtronic's company size." }, "location" : "Shanghai, Shanghai, China", "locations" : [ "Shanghai, Shanghai, China" ], "timestamp" : "2026-06-13T20:29:17.852", "fingerprint" : "d288f70d184f1aadc661e8abdec7626f5d3f4c98b0f15fbc2728ceb92646579a", "source" : "workday", "language" : "en", "applyUrl" : "https://medtronic.wd1.myworkdayjobs.com/MedtronicCareers/job/Shanghai-Shanghai-China/IT-iNTERN_R69328-1", "externalId" : "R69328", "industryFunction" : { }, "locationPoint" : "31.22222,121.45806", "structuredLocations" : [ { "city" : "Shanghai", "state" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2323437,121.4691024" } ], "locationText" : "Shanghai, Shanghai, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Perform research for teams, Support research for teams, Assist with development, Assist with monitoring, Assist with coordination, Assist with implementation, Provide analysis, Provide reporting, Provide internal communication", "qualificationsBasic" : "0 years of experience, Baccalaureate degree enrollment, Master's degree admissions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. # **A Day in the Life** Responsibilities may include the following and other duties may be assigned. * This is a temporary position. * Responsible for performing and supporting research for teams operating within a service group, or product group and/ or project group. * Assists with the development, monitoring, coordination and implementation of technical projects as assigned. * Provides analysis, reporting and internal communication services with team members. * Develops knowledge of industry and organizational processes. **OFFICE SUPPORT CAREER STREAM:** Individual contributors who provide organizational related support or service (administrative or clerical) for other members within the organization. The majority of time is spent in the delivery of support services or activities, typically under supervision. **DIFFERENTIATING FACTORS** **Autonomy:** Entry-level position typically requiring little to no prior experience. Works on well-defined administrative and clerical tasks. Work is routine or follows standard procedures and is closely supervised. **Organizational Impact:** Works to deliver on day-to-day objectives with some impact on achievement of results for the job area, including limited disruption or expense. Delivers job responsibilities following a defined standard output or set of procedures. **Innovation and Complexity:** Provides data and information when minor changes may be required based on review. Problems faced are routine and solutions clearly prescribed. **Communication and Influence:** Communicates with contacts typically within immediate job area. Obtains and provides information requiring little explanation or interpretation. **Leadership and Talent Management:** N/A – Job at this level are focused on self-development. **Required Knowledge and Experience:** Requires no or little job knowledge of systems and procedures. 0 years of experience required. Baccalaureate degree enrollment or Master's degree admissions required. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A). **Physical Job Requirements** The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. # **Benefits & Compensation** **Medtronic offers a competitive Salary and flexible Benefits Package** A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. # **About Medtronic** # We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity [here](http://www.medtronic.com)", "summaryDescription" : "IT iNTERN at Medtronic. Perform research for teams. 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Contract Review** * Review simple contracts (NDAs, operation contracts). * Check format, typos of other contracts. **2\\. Legal research** * Conduct research on legal and regulatory matters affecting the companies' business. **3. Document translation** * Translate documents between Vietnamese and English. **4. Administrative legal tasks** * Maintain legal archives (hard and soft copies) of companies’ licenses and applications, and key projects documents. * Document stamping and scanning. **5\\. Update the ERCs of the companies** * Draft applications (templates to be provided). 6. **Other legal related tasks** as assigned by the LIC. **Requirements** * Minimum internship duration: 6 months; 3 days/week. * Fundamental legal knowledge and working proficiency in English.", "summaryDescription" : "Legal Intern at Solarvest. Skills: Legal compliance, Contract review, Legal research. Review simple contracts. 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Since its establishment in 2021, the Amsterdam office has been a hub for innovative, impactful creative campaigns driven by cultural and social insights. At We Are Social, we foster a culture of creativity, collaboration, and adaptability. Our team thrives on pushing boundaries, exploring bold ideas, and delivering work that makes a meaningful impact for leading global brands. **The Opportunity** Are you a design student eager to launch your creative career? Do you possess a passion for social media trends and translating insights into stunning visuals? We are looking for a Designer (Intern) to join our Creative Department. Reporting to the Senior Creative, you will receive mentorship and play an essential role in supporting design needs across the agency. This internship is specifically designed to grow your independence, strengthen your creative decision-making, and build your confidence in delivering high-quality, impactful visual work. **Requirements** **What You’ll Learn** * How to provide essential visual support for ongoing content, formats, and activations that form part of major clients’ editorial plans. * The end-to-end process of producing final deliverables for social platforms. * Collaborating with experienced creatives on concept development, execution, and detailed visual crafting. * Practical skills in developing and evolving clients' visual identity and branding guidelines in a real-world setting. * Participating directly in the strategic development of editorial languages and defining new visual formats. * Aligning closely with the Creative and Client Service teams to understand seamless project delivery. **What Else Are We Looking For?** * A student currently pursuing a degree in art direction, graphic design, or a related field. * Availability for a full-time paid internship for at least 5 months. * Proficiency with Adobe Creative Suite. * Expertise across various media, tools, and visual communication techniques. * A keen interest in social media platforms, trends and developments. * Strong collaboration skills and the ability to work in multidisciplinary teams. * Fluency in English (C1/C2) is essential. * No prior experience is required, but a demonstrable passion for the creative industry is key. **Benefits** **Life at We Are Social Amsterdam** We Are Social Amsterdam is an equal opportunity employer. We celebrate diversity and inclusion, ensuring that everyone feels valued and empowered to contribute to our shared success. We offer: * Career Path Design: Regular reviews and mentorship to support professional growth. * Training Programs: Access to internal professional development initiatives. * Diversity and Wellbeing: Participate in mental health, CSR, and diversity & inclusion activities. * Flexible Working: Up to three remote working days per week. If this all sounds like the place you have been waiting to find then apply now! What are you waiting for?", "summaryDescription" : "Intern - Designer at We Are Social. Skills: User experience, Visual design, Design systems. Provide visual support. Produce final deliverables", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-12T22:41:45.074", "lastUpdated" : "2026-06-15T02:09:29.032", "ingestTimestamp" : "2026-06-12T22:41:45.074", "mongoId" : "6a2c5df974d8ee00a08dffd0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/071EB3B947", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Visual design", "Interface design", "Design systems", "Adaptability", "User experience", "Visual communication", "Concept development", "Branding guidelines", "Social media trends", "Adobe Creative Suite" ], "skillCount" : 10, "jobCategory" : "marketing", "jobSubcategory" : "marketing-and-advertising", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "_score" : 575.58875, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c5ddf74d8ee00a08df2cc", "title" : "Equity Volatility Quant Researcher Intern (Summer 2027)", "company" : "Walleye Capital", "industry" : "Investment Management", "salary" : { "min" : 5000.0, "max" : 5000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Miami, Florida, United States", "locations" : [ "Miami", "Florida", "United States" ], "timestamp" : "2026-06-15T00:13:02.410", "fingerprint" : "a867a4e7cd9f4457e8015b87c4e1d8385db10b900e74a48769e140fb4ceed4b8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/walleyecapital-external-students/jobs/4676334006", "externalId" : "4676334006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Miami", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "25.7741566,-80.1935973" } ], "locationText" : "Miami, Florida, United States", "employmentType" : "INTERNSHIP", "technicalSkills" : "Python, AI", "professionalSkills" : [ "Quantitative research", "Trading decisions", "Risk management" ], "hardSkillsList" : [ "Probability", "Statistics", "Time-series analysis", "Machine learning", "Optimization" ], "softSkillsList" : [ "Analytical thinking", "Intellectual curiosity", "Creativity", "Enthusiasm", "Intellectual humility" ], "hardSkills" : [ { "name" : "Probability", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Intellectual curiosity" }, { "name" : "Creativity" }, { "name" : "Enthusiasm" }, { "name" : "Intellectual humility" } ], "coreResponsibilities" : "Build foundation in options markets, Keep up to date on macro developments, Understand implications for trading decisions, Collaborate with portfolio managers, Collaborate with quantitative researchers, Perform quantitative research tasks, Enhance research infrastructure, Enhance research tools", "teamCollaboration" : "Collaborate with portfolio managers; Collaborate with quantitative researchers; Work independently; Work collaboratively with a team", "domainKnowledge" : "Options markets; Volatility strategies; Single-stock options; Index options", "domainList" : [ "options-markets", "volatility-strategies", "single-stock-options", "index-options" ], "domainSpecificKnowledge" : [ "Options markets", "Volatility strategies", "Single-stock options", "Index options" ], "toolProficiency" : [ "APIs", "Databases" ], "continuousLearning" : "Continuous learning", "problemSolvingSkills" : "Complex, open-ended problems", "qualificationsBasic" : "Pursuing undergraduate or non-MBA advanced degree, Expected graduation date between December 2027 and June 2028, Programming skills in Python, Experience working with large datasets, Experience working with APIs, Experience working with databases, Rigorous analytical thinking, Knowledge of probability & statistics, Knowledge of time-series analysis, Knowledge of machine learning, Knowledge of optimization", "qualificationsPreferred" : "Genuine interest in financial markets, Genuine interest in risk taking, Genuine interest in using technology, Creativity for leveraging AI tools, Enthusiasm for leveraging AI tools, Thrive in collaborative culture, Intellectual humility, Continuous learning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Position: Equity Volatility Quant Researcher Intern (Summer 2027) Location: Miami, FL Firm Overview: Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Fundamental Equities, Quant, and Volatility strategies. At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team’s success. Our people are our greatest asset, and we’ve cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity. Position Overview: Walleye Capital is seeking exceptional Quant Researcher Interns to join its longest-standing business, Equity Volatility, for Summer 2027. We make markets in U. S. single stock and index options, running a diverse set of strategies – systematic and discretionary, grounded in both quantitative rigor and qualitative insight. With a strong foundation, our group operates at the frontier of innovation – continually evolving our strategies and infrastructure as the options landscape grows in scale, complexity, and opportunity. This high-impact internship is designed for deeply analytical, technically adept students with a strong intellectual curiosity about options markets. Interns will play a meaningful role in advancing quantitative research projects that drive real-world trading decisions. Structured to reflect the responsibilities of a full-time quant researcher, the program offers immersive, hands-on exposure to our end-to-end research and trading workflows, providing an authentic and rigorous experience at the intersection of theory and execution. The internship is 10 weeks in length and will take place in Miami from June to August 2027. Responsibilities: Build a strong foundation in options markets through both an academic and a practitioner’s lens. Keep up to date on major macro developments and market-moving headlines, with a focus on understanding their implications for trading decisions and portfolio risk. Collaborate with seasoned portfolio managers and quantitative researchers specializing in single-stock and index volatility strategies. Perform various quantitative research tasks and projects using large-scale volatility datasets. Enhance research infrastructure and tools for trading and risk management, with an emphasis on leveraging AI. We seek individuals who: Are pursuing an undergraduate or non-MBA advanced degree in a quantitative field, with an expected graduation date between December 2027 and June 2028. Possess strong programming skills—particularly in Python —and hold experience working with large datasets, APIs, or databases. Demonstrate rigorous analytical thinking with a strong knowledge of probability & statistics (time-series analysis, machine learning, optimization). Are self-starters who enjoy digging into complex, open-ended problems and can work both independently and collaboratively with a team. Exhibit a genuine interest in financial markets, risk taking, and using technology in dynamic, data-rich environments. Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity and improve processes and workflows. Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning. Pay Range: The expected pay for this position is $50,000 for 10 weeks. Interns will also receive a $10,000 housing stipend and transportation to and from Miami (domestic travel only). The deadline to apply for this opportunity is Friday, July 31 at 11:59pm ET. For questions about the process, please review our Campus FAQs. Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com. Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/.", "summaryDescription" : "Equity Volatility Quant Researcher Intern (Summer 2027) at Walleye Capital. Build foundation in options markets. 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Essential Functions • Responsible to reconcile SAP Grant Payment Report to Excel Grant Payment Report for assigned Sponsors’ studies, as well as reconcile the total GPS Sponsor balance to the Corporate Sponsor Balance on a monthly basis per SSAE16 Controls • Responsible to accurately complete all necessary journal entries as assign • Responsible to quality review CTA and Payment Intake form setups to determine appropriate SAP vendor and payment method for Payments staff for assigned Sponsor’s studies, inclusive of bank entry validation for the Accounting dept. • Responsible for SharePoint tracker completion for assigned sponsors. • On an annual basis, assist with 1099 and other country tax reporting as assigned • Special projects involving maintenance of the vendor database in SAP, and SOP Maintenance, as required • Other duties as assigned Qualifications • Bachelor's Degree Pursuing degree Req • • Appropriate verbal and written communication skills to function within a professional work environment. • Evidence of effective problem – solving, analytical, and critical thinking skills. • Proficiency in alignment with the desired role placement • Evidence of strong team work and communication skills. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at [https://jobs.iqvia.com](https://jobs.iqvia.com/) IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.", "summaryDescription" : "Intern at IQVIA. Skills: Grant payment reconciliation, Journal entries, SAP. Reconcile SAP Grant Payment Report to Excel Grant. Reconcile total GPS Sponsor balance to Corporate Sponsor", "postedDate" : "2026-06-12T05:33:26.800", "createdAt" : "2026-06-12T05:33:26.778", "lastUpdated" : "2026-06-15T00:18:33.189", "ingestTimestamp" : "2026-06-12T05:33:26.778", "mongoId" : "6a2ad31774d8ee00a0714cbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Netanya-Israel/Intern_R1547312", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Journal entries completion", "CTA setup review", "SAP vendor setup", "Payment method setup", "Bank entry validation", "SharePoint tracker completion", "1099 tax reporting", "Country tax reporting", "Vendor database maintenance", "SOP maintenance", "Team work", "Grant payment reconciliation", "Journal entries", "SAP", "Tax reporting", "SSAE16 Controls", "Excel", "SharePoint" ], "skillCount" : 18, "jobCategory" : "other", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "_score" : 570.45044, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "693c2b8c70f0b99d5843fe49", "title" : "Product Manager Intern", "company" : "Amazon EU SARL", "industry" : "Project/Program/Product Management--Non-Tech, Product Management, studentprograms", "salary" : { "min" : 36000.0, "max" : 54000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for Product Manager Intern roles in Germany, adjusted for Munich's city tier, entry-level seniority, and the e-commerce industry." }, "location" : "Munich, Bavaria, DEU", "locations" : [ "Munich, Bavaria, DEU" ], "timestamp" : "2026-06-15T01:37:18.713", "fingerprint" : "c699f09521b9da5c575678b738bdaa35aec552eaff23242c87a5e533e462f1ab", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138799/apply", "externalId" : "25c8db21-d253-40d9-bb09-13b0e5f0da04", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Bavaria, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Customer-centric product thinking", "Product strategy", "Data-driven decision making", "Market analysis", "Agile methodologies" ], "hardSkillsList" : [ "Customer research methods", "Product roadmaps", "Prioritization discussions", "Product metrics interpretation", "Competitive research", "Product launch processes" ], "hardSkills" : [ { "name" : "Customer research methods", "level" : "intermediate" }, { "name" : "Product roadmaps", "level" : "intermediate" }, { "name" : "Prioritization discussions", "level" : "intermediate" }, { "name" : "Product metrics interpretation", "level" : "intermediate" }, { "name" : "Competitive research", "level" : "intermediate" }, { "name" : "Product launch processes", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Customer research, Product requirements", "majorSkillsList" : [ "Product strategy", "Customer research", "Product requirements" ], "coreResponsibilities" : "Collaborate with engineering, design, and business teams, Develop comprehensive product strategies, Conduct in-depth customer research, Conduct market analysis, Identify emerging opportunities, Define product requirements, Prioritize product requirements, Analyze product performance metrics, Drive continuous improvement, Support product development lifecycle, Create clear product documentation, Participate in strategic product review sessions", "teamCollaboration" : "Cross-functional collaboration; Team ceremonies; Product launch processes", "projectManagementSkills" : [ "Agile methodologies", "Product roadmaps", "Prioritization discussions" ], "domainKnowledge" : "Customer-centric thinking", "domainList" : [ "customer-centric-thinking" ], "domainSpecificKnowledge" : [ "Customer-centric thinking" ], "toolProficiency" : [ "Microsoft Excel" ], "documentationSkills" : "Product documentation", "continuousLearning" : "Learning sessions; Amazon's learning platforms", "innovationCreativity" : "Product innovation", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "Currently in penultimate year of university, Available for full-time internship (3-6 months), Proficient in spoken and written English and German (C1), Analytical skills with advanced Microsoft Excel, Basic understanding of product management concepts", "qualificationsPreferred" : "Problem-solving skills with innovative solution development, Experience with product management tools and methodologies, Excellent communication skills, Leadership experience, Understanding of UX/UI design principles, Technology and market trends curiosity", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "THIS ROLE IS OPEN TO STUDENTS GRADUATING IN 2027 SEEKING AN INTERNSHIP WITH A START DATE FROM JANUARY - JULY 2026. IF THIS MATCHES YOUR EXPECTED GRADUATION DATE AND AVAILABILITY, PLEASE CONTINUE READING. At Amazon, we are working to be the most customer-centric company on earth. Amazon is looking for passionate, versatile, and curious Product Manager Interns to join our teams across various business units. You will work on product innovation and improvement initiatives that directly impact our customers and drive business growth worldwide. As a Product Manager Intern at Amazon, you'll dive into a dynamic environment that empowers you to solve complex challenges, develop cutting-edge products, and make a meaningful impact across diverse business units. Note: You must have the right to work in the country of employment by the start date. Key Learning Objectives The role emphasizes development in these core competencies: - Customer-Centric Product Thinking: gain exposure to customer research methods and learn how Amazon identifies customer pain points. - Product Strategy: understand how product roadmaps are created and participate in prioritization discussions. - Cross-Functional Collaboration: observe how teams work together and practice communication skills with guidance. - Data-Driven Decision Making: learn basic product metrics and how to interpret data to inform product decisions. - Market Analysis: assist with competitive research and understand how Amazon positions products. - Development Process: experience agile methodologies through observation and participation in team ceremonies. - Go-to-Market Approach: gain exposure to product launch processes and understand team collaboration. Key job responsibilities - You will collaborate with engineering, design, and business teams to develop comprehensive product strategies. - You will conduct in-depth customer research and market analysis to identify emerging opportunities. - You will define and prioritize product requirements using data-driven insights. - You will analyze product performance metrics to drive continuous improvement. - You will support the entire product development lifecycle from concept to launch. - You will create clear, comprehensive product documentation for cross-functional communication. - You will participate in strategic product review sessions with leadership. About the team Intern Community:  As an Amazon Intern, you'll be part of a vibrant, supportive community that empowers your growth and development. You'll collaborate with interns from around the world, networking and participating in social events to broaden your perspectives. You can also join specialized groups focused on areas like sustainability to explore your diverse interests.  Support:  The internship program provides a robust support system, including weekly intern office hours, dedicated IT and HR support, and a program team committed to your success. This ensures you have the guidance and assistance needed to thrive.  Learning Sessions:  Exclusive learning sessions will further enhance your skills, granting you access to Amazon's cutting-edge learning platforms and the expertise of industry leaders. These structured development opportunities will prepare you for the next step in your career.  Opportunities:  Upon successful completion of the internship, you may be considered for a graduate role or a second internship, allowing you to continue your journey with Amazon. Additionally, you'll enjoy a competitive monthly salary, relocation support, and access to a range of employee benefits.  Internship Start Dates across the year:  We are hiring interns to start on standardised dates from January through July.   Basic Qualifications: - Currently in your penultimate year and working towards a university bachelor's or master's degree in Business, Economics, Marketing, Engineering or related field. - Available for a full-time internship (40 hours/week) lasting from 3 to 6 months with a start date between January and July. - Proficient in spoken and written English and German (Common European Framework of Reference C1 or equivalent). - Analytical skills with advanced level in Microsoft Excel (e.g., formulas, pivot tables, macros). - Basic understanding of product management concepts and customer-centric thinking. Preferred Qualifications: - Strong problem-solving skills with innovative solution development. - Experience with product management tools and methodologies (e.g., Agile, user story mapping, wireframing tools). - Excellent communication skills. - Leadership experience through academic projects or extracurricular activities. - Understanding of UX/UI design principles. - Technology and market trends curiosity. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Product Manager Intern at Amazon EU SARL. Skills: Product strategy, Customer research, Product requirements. Collaborate with engineering, design, and business teams. Develop comprehensive product strategies", "postedDate" : "2026-06-13T02:45:29.935", "createdAt" : "2026-06-13T02:45:29.935", "lastUpdated" : "2026-06-15T01:37:18.713", "ingestTimestamp" : "2026-06-13T02:45:29.935", "mongoId" : "693c2b8c70f0b99d5843fe49", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138799/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Customer research methods", "Product roadmaps", "Prioritization discussions", "Product metrics interpretation", "Competitive research", "Product launch processes", "Product strategy", "Customer research", "Product requirements", "Customer-centric product thinking", "Data-driven decision making", "Market analysis", "Agile methodologies", "Customer-centric thinking", "Microsoft Excel" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 568.5206, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69f835e84c40e2acd1eb7522", "title" : "2027 Applied Science Intern (Machine Learning, Recommender Systems)", "company" : "Amazon International Machine Learning", "industry" : "Machine Learning Science, Applied Science, studentprograms", "salary" : { "min" : 70000.0, "max" : 95000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in Melbourne, Australia, adjusted for the technology industry and a large company size." }, "location" : "Melbourne, Victoria, AUS", "locations" : [ "Melbourne, Victoria, AUS" ], "timestamp" : "2026-06-15T01:54:11.211", "fingerprint" : "029ed7b3d0a18332dfec6b2725cf48bba61766228c4582c354ba4b608466f69f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409671/apply", "externalId" : "49c33264-f29e-4ba3-bbef-bd6dd7c933a7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Deep Learning, Machine Learning, Information Retrieval, Natural Language Processing, Python", "professionalSkills" : [ "Research", "Prototyping" ], "hardSkillsList" : [ "Algorithm development", "Data analysis" ], "hardSkills" : [ { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Recommender Systems, Information Retrieval, Deep Learning", "majorSkillsList" : [ "Machine Learning", "Recommender Systems", "Information Retrieval", "Deep Learning" ], "coreResponsibilities" : "Develop novel solutions, Build prototypes, Work on complex problems, Contribute to research, Collaborate with a diverse team, Collaborate with scientists on writing papers, Present research findings", "teamCollaboration" : "Cross-disciplinary team; Diverse team of experts", "domainKnowledge" : "Recommender Systems; Information Retrieval; Natural Language Processing; Computer Vision", "domainList" : [ "recommender-systems", "information-retrieval", "natural-language-processing", "computer-vision" ], "domainSpecificKnowledge" : [ "Recommender Systems", "Information Retrieval", "Natural Language Processing", "Computer Vision" ], "communicationSkills" : "Present research findings", "innovationCreativity" : "Novel solutions; Out-of-the-box pragmatic thinking", "problemSolvingSkills" : "Solve real-world problems; Complex problems", "outcomesObjectives" : "Deliver solutions to production; Impact Amazon operations", "qualificationsBasic" : "Enrolled in a PhD, Experience with video and image processing, Experience with compression algorithms, Experience with computer vision, Experience with machine learning, Programming skills (Python preferred)", "qualificationsPreferred" : "Experience researching machine learning, Experience researching deep learning, Experience researching NLP, Experience researching computer vision, Experience researching data science, Publications in top-tier conferences", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited about leveraging state-of-the-art Deep Learning, Recommender Systems, Information Retrieval, Natural Language Processing algorithms on large datasets to solve real-world problems? As an Applied Scientist Intern, you will be working in the closest Amazon offices to you (Sydney, Melbourne, Adelaide, Brisbane) in a fast-paced, cross-disciplinary team of experienced R&D scientists. You will take on complex problems, work on solutions that leverage existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even deliver these to production in customer facing products. Key job responsibilities - Develop novel solutions and build prototypes - Work on complex problems in Machine Learning and Information Retrieval - Contribute to research that could significantly impact Amazon operations - Collaborate with a diverse team of experts in a fast-paced environment - Collaborate with scientists on writing and submitting papers to top conferences, e.g. NeurIPS, ICML, KDD, SIGIR - Present your research findings to both technical and non-technical audiences Key Opportunities: - Work in a team of ML scientists to solve recommender systems problems at the scale of Amazon - Access to Amazon services and hardware - Become a disruptor, innovator, and problem solver in the field of information retrieval and recommender systems - Potentially deliver solutions to production in customer-facing applications - Opportunities to be hired full-time after the internship Join us in shaping the future of AI at Amazon. Apply now and turn your research into real-world solutions! Basic Qualifications: - Are enrolled in a PhD in computer science, machine learning, engineering, or related fields - Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning - Strong programming skills (Python preferred) Preferred Qualifications: - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Publications in top-tier conferences such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, etc. Please list these publications on your resume. Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "2027 Applied Science Intern (Machine Learning, Recommender Systems) at Amazon International Machine Learning. Skills: Machine Learning, Recommender Systems, Information Retrieval, Deep Learning. Develop novel solutions. Build prototypes", "postedDate" : "2026-06-13T01:57:40.329", "createdAt" : "2026-06-13T01:57:40.329", "lastUpdated" : "2026-06-15T01:54:11.211", "ingestTimestamp" : "2026-06-13T01:57:40.329", "mongoId" : "69f835e84c40e2acd1eb7522", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409671/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Algorithm development", "Data analysis", "Machine Learning", "Recommender Systems", "Information Retrieval", "Deep Learning", "Research", "Prototyping", "Natural Language Processing", "Computer Vision" ], "skillCount" : 10, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 566.28174, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a256b3774d8ee00a017ceba", "title" : "Game Research & Development Intern, Engine Research", "company" : "LIGHTSPEED STUDIOS", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Game Research & Development Intern in Australia, with adjustments for the technology industry and internship role." }, "location" : "Australia", "locations" : [ "Australia" ], "timestamp" : "2026-06-11T20:02:29.137", "fingerprint" : "75de220253586c8395f57519cc9db8074f95d6e971b3f9103d856aa30f18a759", "source" : "workday", "language" : "en", "applyUrl" : "https://tencent.wd1.myworkdayjobs.com/Lightspeed/job/Australia-New-South-Wales-Sydney/Game-Research---Development-Intern--Engine-Research_R107518", "externalId" : "R107518", "locationPoint" : "-25.2744,133.7751", "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "onsite" } ], "locationText" : "Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "C++, Python, TensorFlow, Torch", "professionalSkills" : [ "Geometric learning", "UV optimization", "Animation", "Simulation", "Machine learning", "Computer graphics", "Motion planning", "Character locomotion", "Image synthesis", "Real-time rendering", "Tool development", "Pipeline development" ], "hardSkillsList" : [ "Calculus", "Linear algebra", "Numerical analysis" ], "softSkillsList" : [ "Responsibility", "Communication skills" ], "hardSkills" : [ { "name" : "Calculus", "level" : "intermediate" }, { "name" : "Linear algebra", "level" : "intermediate" }, { "name" : "Numerical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Responsibility" }, { "name" : "Communication skills" } ], "majorSkills" : "Geometric learning, Machine learning, Computer graphics, Animation", "majorSkillsList" : [ "Geometric learning", "Machine learning", "Computer graphics", "Animation" ], "coreResponsibilities" : "Research advanced techniques, Develop advanced techniques, Research geometric learning, Develop geometric learning, Research re-meshing, Develop UV optimization, Research animation, Develop simulation, Research machine learning, Develop machine learning, Research motion planning, Develop motion planning, Research locomotion, Develop character control, Research image synthesis, Develop real-time rendering, Research tools, Develop tools, Research pipelines, Develop pipelines", "teamCollaboration" : "Working with scientists", "domainKnowledge" : "Game development; Computer graphics; Machine learning; Robotics; Virtual city; Graphics APIs; GPU programming", "domainList" : [ "game-development", "computer-graphics", "machine-learning", "robotics", "virtual-city", "graphics-apis", "gpu-programming" ], "domainSpecificKnowledge" : [ "Game development", "Computer graphics", "Machine learning", "Robotics", "Virtual city", "Graphics APIs", "GPU programming" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Research and development", "qualificationsBasic" : "coding skills in C++, coding skills in python, coding skills in TensorFlow/Torch, calculus knowledge, linear algebra knowledge, basic numerical analysis knowledge", "qualificationsPreferred" : "Graduate student in master program, Graduate student in Ph.D. program, Publications on computer graphics/vision, Publications on machine learning, Publications on robotics, Familiarity with game engine, Familiarity with graphics APIs, Familiarity with GPU programming", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "# **_Business Unit_** LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices. # **_About the Hiring Team_** Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc. # **_What the Role Entails_** Working with scientists to research and develop advanced techniques in the following topics: * 3D geometric learning, * Re-meshing and UV optimization, * Physically-based animation and simulation * Machine learning for computer graphics * Motion planning in virtual city * Character locomotion and control * realistic image synthesis and real-time rendering techniques * Researching and developing tools and pipelines to facilitate the use of technologies in the game development environment # ** _Who We Look For_** * Strong coding skills in one of following programming languages: C++, python, TensorFlow/Torch * Solid knowledge in calculus, linear algebra, basic numerical analysis * A strong sense of responsibility and good communication skills Plus: * Graduate students in a master or Ph.D. level program * Publications on computer graphics/vision, machine learning, and robotics * Familiarity with game engine, graphics APIs, and GPU programming # _**Equal Employment Opportunity at Tencent**_ As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.", "summaryDescription" : "Game Research & Development Intern, Engine Research at LIGHTSPEED STUDIOS. Skills: Geometric learning, Machine learning, Computer graphics, Animation. Research advanced techniques. Develop advanced techniques", "postedDate" : "2026-06-07T08:12:13.463", "createdAt" : "2026-06-11T08:12:13.449", "lastUpdated" : "2026-06-11T20:02:29.137", "ingestTimestamp" : "2026-06-11T08:12:13.449", "mongoId" : "6a256b3774d8ee00a017ceba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://tencent.wd1.myworkdayjobs.com/Lightspeed/job/Australia-New-South-Wales-Sydney/Game-Research---Development-Intern--Engine-Research_R107518", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Calculus", "Linear algebra", "Numerical analysis", "Responsibility", "Communication skills", "Geometric learning", "Machine learning", "Computer graphics", "Animation", "UV optimization", "Simulation", "Motion planning", "Character locomotion", "Image synthesis", "Real-time rendering", "Tool development", "Pipeline development", "Game development", "Robotics", "Virtual city", "Graphics APIs", "GPU programming" ], "skillCount" : 22, "jobCategory" : "other", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "_score" : 566.2183, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a932274d8ee00a0692d54", "title" : "Associate Sourcing Specialist– Supplier Research", "company" : "Fictiv", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Associate Sourcing Specialist in Manufacturing in China, adjusted for entry-level experience and onsite work mode." }, "location" : "China", "locations" : [ "China" ], "timestamp" : "2026-06-14T23:26:46.934", "fingerprint" : "3a912dae44f58e2f9087bb3aba788af696f925d2b7a0c2b9882e425b72696f0f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fictiv/jobs/8061945002", "externalId" : "8061945002", "structuredLocations" : [ { "country" : "China", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "China", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 3, "experienceLevel" : "Entry", "professionalSkills" : [ "Supplier research", "Market analysis", "Supply chain risks" ], "hardSkillsList" : [ "Data organization", "Basic analysis" ], "hardSkills" : [ { "name" : "Data organization", "level" : "intermediate" }, { "name" : "Basic analysis", "level" : "intermediate" } ], "majorSkills" : "Supplier identification, Supplier management", "majorSkillsList" : [ "Supplier identification", "Supplier management" ], "coreResponsibilities" : "Research potential manufacturing partners, Identify potential manufacturing partners, Document potential manufacturing partners, Expand supplier pool, Improve cost efficiency, Ensure reliable supply chain, Research and identify potential new suppliers, Collect company profile from suppliers, Collect equipment list from suppliers, Collect RFI from suppliers, Collect RFQ from suppliers, Prepare pre-assessment summary report, Attend industry exhibitions, Gather supplier insights, Gather market trends, Conduct market analysis, Stay informed about industry trends, Stay informed about commodity pricing, Stay informed about supply chain risks, Sign MSA with suppliers, Sign NDA with suppliers, Sign TOS with suppliers, Complete supplier onboarding processes, Maintain accurate supplier records, Maintain up-to-date supplier records, Update contact information, Update pricing agreements, Update performance documentation, Issue Purchase Orders, Track order status", "teamCollaboration" : "Works well with sourcing team", "domainKnowledge" : "CNC machining; Die casting; Forging", "domainList" : [ "cnc-machining", "die-casting", "forging" ], "domainSpecificKnowledge" : [ "CNC machining", "Die casting", "Forging" ], "toolProficiency" : [ "Microsoft Excel", "Google Sheets" ], "documentationSkills" : "Company profile; RFI; RFQ", "continuousLearning" : "English learning; Technical skills certifications", "problemSolvingSkills" : "Data-driven decisions", "qualificationsBasic" : "1-3 Years experience in sourcing & supply chain, English verbal, reading/writing skills, Proficiency in Microsoft Excel/Google Sheets", "qualificationsPreferred" : "CET6 or equivalent preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About MISUMI Americas MISUMI Americas, a division of MISUMI Group, is a leading provider of standard, configurable, and custom manufacturing solutions. By integrating a vast catalog of components with a world-class digital manufacturing platform, MISUMI Americas empowers engineers and procurement teams to accelerate innovation across the entire product lifecycle. With operations in the San Francisco Bay Area and Chicago, the company serves as a vital partner for the most innovative companies in the Americas. Impact In This Role You will research, identify, and document potential manufacturing partners (CNC machining, die casting, forging, etc.) to help Fictiv’s sourcing team make data-driven decisions. Your work will directly contribute to expanding our supplier pool, improving cost efficiency, and ensuring a reliable supply chain for our customers. You will report to the Strategic Sourcing Manager. What You’ll Be Doing Supplier Identification: Assist in researching and identifying potential new suppliers/vendors across various categories. Collect company profile, equipment list, RFI(Request for Information), RFQ(Request for Quote) from potential suppliers. Prepare pre-assessment summary report. Attend industry exhibitions (as needed) to gather supplier insights and market trends. Conduct market analysis to stay informed about industry trends, commodity pricing, and potential supply chain risks. Supplier Management: 1- Responsible for signing MSA, NDA, TOS with suppliers. 2- Complete supplier onboarding processes. 3- Maintain accurate and up-to-date supplier records in the procurement system, including contact information, pricing agreements, and performance documentation. 4- Purchase Order (PO) management: issuing PO and tracking order status to ensure timely delivery. Desired Traits Bachelor’s degree (Supply Chain, International Trade, Economics, ect.). 1-3 Years experience in sourcing & supply chain. Strong English verbal, reading/writing skills (CET6 or equivalent preferred). Proficiency in Microsoft Excel/Google Sheets (data organization, filtering, basic analysis). Open mindset & Willingness to learn and adapt. ✅ Self-Motivated Learner – Eager to develop expertise in sourcing and manufacturing. ✅ Detail-Oriented – Strong organizational skills to manage supplier data accurately. ✅ Research-Driven – Comfortable digging into market data to find the best suppliers. ✅ Collaborative Mindset – Works well with sourcing team to support strategic goals. Perks and Benefits Housing fund, and social insurance, commercial insurance for employee and your child Annual leave, paid sick leave Team celebrations Annual training opportunities including English learning, technical skills certifications, Yearly health check-up And much, much more! Interested in learning more? We look forward to hearing from you soon. We’re actively seeking teammates who: Bring diverse perspectives and experience to our culture and company. Excel at being part of a strong, empathetic team. Thrive in an environment emphasizing respect, honesty, collaboration, and growth. Have an ‘always learning’ mindset that celebrates learning, not just wins. Help us continue to build a world-class organization that values the contributions of all of our teammates We encourage applications from members of underrepresented groups, including but not limited to women, members of the LGBTQ community, people of color, people with disabilities, and veterans.", "summaryDescription" : "Associate Sourcing Specialist– Supplier Research at Fictiv. Skills: Supplier identification, Supplier management. Research potential manufacturing partners. Identify potential manufacturing partners", "postedDate" : "2026-06-12T01:21:07.952", "createdAt" : "2026-06-12T01:21:07.952", "lastUpdated" : "2026-06-14T23:26:46.934", "ingestTimestamp" : "2026-06-12T01:21:07.952", "mongoId" : "6a2a932274d8ee00a0692d54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data organization", "Basic analysis", "Supplier identification", "Supplier management", "Supplier research", "Market analysis", "Supply chain risks", "CNC machining", "Die casting", "Forging", "Microsoft Excel", "Google Sheets" ], "skillCount" : 12, "jobCategory" : "other", "jobSubcategory" : "strategic-sourcing-&-supply", "dataQualityScore" : 0.8888889, "_score" : 564.3846, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a534c74d8ee00a05fd935", "title" : "Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)", "company" : "Block", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level technology internships in the US, adjusted for company size and industry." }, "location" : "CA - ON - Toronto - Remote", "locations" : [ "CA - ON - Toronto - Remote" ], "timestamp" : "2026-06-14T22:18:12.185", "fingerprint" : "05a3a4aba46643d82e16eed7bea388715f5839cd050cbf76f39d6850d395801d", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://block.xyz/careers/jobs/5108007008?gh_jid=5108007008", "externalId" : "5108007008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "employmentType" : "INTERNSHIP", "minimumEducation" : "Master's", "technicalSkills" : "Python, PyTorch, JAX, Machine Learning, Deep Learning, Optimization, Representation Learning, Foundation Models, Large Language Models, Reinforcement Learning, Agentic Systems, Graph Data", "professionalSkills" : [ "Research", "Product Intelligence", "Causal Reasoning", "Agentic Systems", "Representation Learning", "Foundation Models", "Reinforcement Learning", "Product Development" ], "hardSkillsList" : [ "Machine Learning", "Deep Learning", "Optimization", "Representation Learning", "Foundation Models", "Reinforcement Learning", "Causal Reasoning", "Agentic Systems", "Long-horizon planning", "Decision-making", "Reward modeling", "Preference learning", "Counterfactual evaluation", "Credit assignment", "Simulated environments", "Longitudinal evaluation", "Decision quality metrics", "Safety benchmarks", "Reliability benchmarks" ], "hardSkills" : [ { "name" : "Machine Learning", "level" : "intermediate" }, { "name" : "Deep Learning", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "Representation Learning", "level" : "intermediate" }, { "name" : "Foundation Models", "level" : "intermediate" }, { "name" : "Reinforcement Learning", "level" : "intermediate" }, { "name" : "Causal Reasoning", "level" : "intermediate" }, { "name" : "Agentic Systems", "level" : "intermediate" }, { "name" : "Long-horizon planning", "level" : "intermediate" }, { "name" : "Decision-making", "level" : "intermediate" }, { "name" : "Reward modeling", "level" : "intermediate" }, { "name" : "Preference learning", "level" : "intermediate" }, { "name" : "Counterfactual evaluation", "level" : "intermediate" }, { "name" : "Credit assignment", "level" : "intermediate" }, { "name" : "Simulated environments", "level" : "intermediate" }, { "name" : "Longitudinal evaluation", "level" : "intermediate" }, { "name" : "Decision quality metrics", "level" : "intermediate" }, { "name" : "Safety benchmarks", "level" : "intermediate" }, { "name" : "Reliability benchmarks", "level" : "intermediate" } ], "majorSkills" : "Representation Learning, Foundation Models, Reinforcement Learning, Agentic Systems", "majorSkillsList" : [ "Representation Learning", "Foundation Models", "Reinforcement Learning", "Agentic Systems" ], "coreResponsibilities" : "Frame research problems, Develop research methods, Run research experiments, Publish research findings, Ship work into production systems, Build customer world models, Develop proactive intelligence systems, Build agentic decision systems, Develop learning from feedback loops, Build evaluation frameworks", "domainKnowledge" : "Customer World Model; Proactive Intelligence; Representation Learning; Foundation Models; Reinforcement Learning; Causal Reasoning; Agentic Systems; Product Intelligence; Event Streams; Financial Activity; Behavioral Data; Multi-modal Data; Structured Data; Sequential Data; Graph Data; Memory Architectures; Opportunity Detection; Next-best-action; Long-horizon Planning; Preference Inference; Goal Inference; Agentic Systems; Tool Use; Autonomous Workflow Execution; Recovery Under Uncertainty; Adaptation Under Uncertainty; Real-world Outcomes; Reinforcement Learning; Reward Modeling; Preference Learning; Counterfactual Evaluation; Credit Assignment; Long Decision Horizons; Simulated Customer Environments; Longitudinal Evaluation; Decision Quality Metrics; Safety Benchmarks; Reliability Benchmarks", "domainList" : [ "customer-world-model", "proactive-intelligence", "representation-learning", "foundation-models", "reinforcement-learning", "causal-reasoning", "agentic-systems", "product-intelligence", "event-streams", "financial-activity", "behavioral-data", "multi-modal-data", "structured-data", "sequential-data", "graph-data", "memory-architectures", "opportunity-detection", "next-best-action", "long-horizon-planning", "preference-inference", "goal-inference", "tool-use", "autonomous-workflow-execution", "recovery-under-uncertainty", "adaptation-under-uncertainty", "real-world-outcomes", "reward-modeling", "preference-learning", "counterfactual-evaluation", "credit-assignment", "long-decision-horizons", "simulated-customer-environments", "longitudinal-evaluation", "decision-quality-metrics", "safety-benchmarks", "reliability-benchmarks" ], "domainSpecificKnowledge" : [ "Customer World Model", "Proactive Intelligence", "Representation Learning", "Foundation Models", "Reinforcement Learning", "Causal Reasoning", "Agentic Systems", "Product Intelligence", "Event Streams", "Financial Activity", "Behavioral Data", "Multi-modal Data", "Structured Data", "Sequential Data", "Graph Data", "Memory Architectures", "Opportunity Detection", "Next-best-action", "Long-horizon Planning", "Preference Inference", "Goal Inference", "Agentic Systems", "Tool Use", "Autonomous Workflow Execution", "Recovery Under Uncertainty", "Adaptation Under Uncertainty", "Real-world Outcomes", "Reinforcement Learning", "Reward Modeling", "Preference Learning", "Counterfactual Evaluation", "Credit Assignment", "Long Decision Horizons", "Simulated Customer Environments", "Longitudinal Evaluation", "Decision Quality Metrics", "Safety Benchmarks", "Reliability Benchmarks" ], "toolProficiency" : [ "PyTorch", "JAX" ], "continuousLearning" : "Opportunities to publish; Contribute to open-source projects", "innovationCreativity" : "Prototype development; Research problem end-to-end", "problemSolvingSkills" : "Reasoning over customer state; Make better decisions; Learn continuously from outcomes", "outcomesObjectives" : "Ship production systems; Publish work in same year; Develop deeper understanding of customers; Use understanding to make better decisions", "qualificationsBasic" : "MS or PhD program enrollment, Foundations in modern machine learning, Experience conducting independent research, Fluency in Python, Experience with PyTorch, JAX, or similar frameworks, Evidence of research excellence", "qualificationsPreferred" : "Experience with large language models, Experience with agentic systems, Experience with reinforcement learning, Experience with reward modeling, Experience with sequential decision-making, Experience with representation learning for structured, temporal, or graph data, Familiarity with large-scale training and production ML systems, Interest in building AI systems that directly affect customer outcomes", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Team: Apollo — Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op — 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads Block's efforts to build the Customer World Model (CWM): a continuously evolving representation of each customer's goals, context, history, constraints, and likely future needs. The CWM powers proactive intelligence across Block's ecosystem. Instead of customers navigating products in search of features, intelligence observes their world, understands what matters, anticipates what comes next, and initiates actions on their behalf. We believe the next generation of AI products will not be defined by chat interfaces or isolated agents. They will be defined by rich world models that enable systems to reason over a customer's evolving state, make better decisions, and learn continuously from outcomes. Apollo designs, prototypes, and guides the development of this intelligence layer. About the role We're hiring a small cohort of graduate research interns to help build the foundations of proactive intelligence. This is not a traditional internship. You'll own a research problem end-to-end: framing the question, developing methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers. You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build smarter models, but to build systems that develop a deeper understanding of customers and use that understanding to make better decisions over time. Past interns have shipped production systems within months and published their work in the same year. What you'll work on Depending on your interests and Apollo's roadmap, you'll focus on one or more of the following areas: Customer World Models Building rich representations of customers from event streams, financial activity, operational signals, and behavioral data. Examples include: Representation learning over long-horizon customer histories Event-based foundation models Multi-modal customer representations spanning structured, sequential, and graph data Memory architectures for long-term customer understanding Proactive Intelligence Developing systems that can anticipate customer needs and initiate helpful actions before being asked. Examples include: Opportunity detection and next-best-action systems Long-horizon planning and decision-making Preference and goal inference Learning when intervention creates value versus friction Agentic Decision Systems Building agents that reason over customer world models and take actions in real environments. Examples include: Tool use and planning Multi-step reasoning over customer state Autonomous workflow execution Recovery and adaptation under uncertainty Learning from Feedback Loops Developing methods that allow intelligence to improve continuously from real-world outcomes. Examples include: Reinforcement learning from customer and product feedback Reward modeling and preference learning Counterfactual evaluation Credit assignment over long decision horizons Evaluation and Measurement Building evaluation frameworks that predict real-world performance, trust, and customer value. Examples include: Simulated customer environments Longitudinal evaluation Decision quality metrics Safety and reliability benchmarks What we're looking for We're looking for researchers interested in building systems that understand people, learn from experience, and improve over time. Required Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op. Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. Experience conducting independent research and translating ideas into working systems. Fluency in Python and experience with PyTorch, JAX, or similar frameworks. Evidence of research excellence through publications, open-source contributions, technical leadership, or equivalent work. Nice to have Experience with large language models and agentic systems. Experience with reinforcement learning, reward modeling, or sequential decision-making. Experience with representation learning for structured, temporal, or graph data. Familiarity with large-scale training and production ML systems. Interest in building AI systems that directly affect customer outcomes. What you'll get Direct mentorship from researchers working on the future of proactive intelligence at Block. Access to large-scale datasets, modern infrastructure, frontier models, and substantial compute resources. Opportunities to publish and contribute to open-source projects. A chance to shape foundational technology that could power the next generation of Block products. Exposure to both scientific research and product deployment, with a clear path from idea to impact. Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Privacy Policy", "summaryDescription" : "Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op) at Block. Skills: Representation Learning, Foundation Models, Reinforcement Learning, Agentic Systems. Frame research problems. Develop research methods", "postedDate" : "2026-06-12T00:15:54.914", "createdAt" : "2026-06-12T00:15:54.914", "lastUpdated" : "2026-06-14T22:18:12.185", "ingestTimestamp" : "2026-06-12T00:15:54.914", "mongoId" : "6a2a534c74d8ee00a05fd935", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Machine Learning", "Deep Learning", "Optimization", "Representation Learning", "Foundation Models", "Reinforcement Learning", "Causal Reasoning", "Agentic Systems", "Long-horizon planning", "Decision-making", "Reward modeling", "Preference learning", "Counterfactual evaluation", "Credit assignment", "Simulated environments", "Longitudinal evaluation", "Decision quality metrics", "Safety benchmarks", "Reliability benchmarks", "Research", "Product Intelligence", "Product Development", "Customer World Model", "Proactive Intelligence", "Event Streams", "Financial Activity", "Behavioral Data", "Multi-modal Data", "Structured Data", "Sequential Data", "Graph Data", "Memory Architectures", "Opportunity Detection", "Next-best-action", "Long-horizon Planning", "Preference Inference", "Goal Inference", "Tool Use", "Autonomous Workflow Execution", "Recovery Under Uncertainty", "Adaptation Under Uncertainty", "Real-world Outcomes", "Reward Modeling", "Preference Learning", "Counterfactual Evaluation", "Credit Assignment", "Long Decision Horizons", "Simulated Customer Environments", "Longitudinal Evaluation", "Decision Quality Metrics", "Safety Benchmarks", "Reliability Benchmarks", "PyTorch", "JAX" ], "skillCount" : 54, "jobCategory" : "other", "jobSubcategory" : "10109-risk---prod-dev---cash-app", "dataQualityScore" : 0.8888889, "_score" : 563.4678, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "68c2e412f8b1b0376634c1ed", "title" : "Research Scientist", "company" : "ADCI", "industry" : "Machine Learning Science, Research Science, transportation and logistics", "salary" : { "min" : 2250000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Scientist in Logistics in Bengaluru, India, adjusted for mid-level experience and full-time employment." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T02:07:25.753", "fingerprint" : "bb4ba8c3844fc51bd6c8e3a289e169d95715875ebe71f434e3af353da798e7ae", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3075733/apply", "externalId" : "9e8bf8b7-5b40-46e0-b9a1-db24ef4f2c72", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C/C++, Python, Java, Perl, Machine Learning, Neural deep learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow", "professionalSkills" : [ "Algorithm design", "Product development" ], "hardSkillsList" : [ "Mathematics", "Statistics" ], "softSkillsList" : [ "Strategic thinker", "Business judgment", "Execution skills" ], "hardSkills" : [ { "name" : "Mathematics", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic thinker" }, { "name" : "Business judgment" }, { "name" : "Execution skills" } ], "majorSkills" : "Machine Learning, Data science, Logistics optimization", "majorSkillsList" : [ "Machine Learning", "Data science", "Logistics optimization" ], "coreResponsibilities" : "Optimize delivery network, Ensure reliable service, Ensure efficient service, Drive impactful projects, Implement advanced solutions, Develop scalable processes", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Logistics challenges; Delivery operations", "domainList" : [ "logistics-challenges", "delivery-operations" ], "domainSpecificKnowledge" : [ "Logistics challenges", "Delivery operations" ], "toolProficiency" : [ "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Analytical capabilities", "qualificationsBasic" : "3+ years building ML models, Knowledge of C/C++, Python, Java or Perl, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning", "qualificationsPreferred" : "PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, 3+ years of extensive relevant research experience, Deep expertise in Machine Learning, Proficiency in programming, Core competency in mathematics and statistics, Track record of successful projects in algorithm design and product development, Publications at peer-reviewed conferences or journals, Experience with modern modeling tools and frameworks, Experience with large scale distributed systems, 3+ years of relevant, broad research experience, Publications at top-tier peer-reviewed conferences or journals, Prior experience with mentorship and/or management of scientists, Experience working with real-world data sets, Experience building scalable models from big data", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about solving complex logistics challenges? Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications. Basic qualifications • 3+ years of building machine learning models for business application experience • Knowledge of programming languages such as C/C++, Python, Java or Perl • Experience programming in Java, C++, Python or related language • Experience with neural deep learning methods and machine learning Preferred qualifications: • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field • 3+ years of extensive relevant research experience • Deep expertise in Machine Learning • Proficiency in programming • Core competency in mathematics and statistics • Track record of successful projects in algorithm design and product development • Publications at peer-reviewed conferences or journals • Strategic thinker with good execution skills • Exhibits excellent business judgment • Effective verbal and written communication skills • Experience working with real-world data sets and building scalable models from big data • Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow • Experience with large scale distributed systems Basic Qualifications: - 3+ years of building machine learning models for business application experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 3+ years of relevant, broad research experience - Deep expertise in Machine Learning - Proficiency in programming - core competency in mathematics and statistics. - Track record of successful projects in algorithm design and product development. - Publications at top-tier peer-reviewed conferences or journals. - prior experience with mentorship and/or management of scientists - Thinks strategically, but stays on top of tactical execution. - Exhibits excellent business judgment; balances business - Effective verbal and written communication skills - Experience working with real-world data sets and building scalable models from big data. - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, - Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Research Scientist at ADCI. Skills: Machine Learning, Data science, Logistics optimization. Optimize delivery network. Ensure reliable service", "postedDate" : "2026-06-13T15:31:44.658", "createdAt" : "2026-06-13T15:31:44.658", "lastUpdated" : "2026-06-15T02:07:25.753", "ingestTimestamp" : "2026-06-13T15:31:44.658", "mongoId" : "68c2e412f8b1b0376634c1ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3075733/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mathematics", "Statistics", "Strategic thinker", "Business judgment", "Execution skills", "Machine Learning", "Data science", "Logistics optimization", "Algorithm design", "Product development", "Program management", "Logistics challenges", "Delivery operations", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 562.7777, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c5e1874d8ee00a08e1138", "title" : "Research Director", "company" : "Knit", "salary" : { "min" : 140000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States (Remote)", "locations" : [ "United States (Remote)" ], "timestamp" : "2026-06-14T22:37:04.035", "fingerprint" : "87ab7ce85b2de4eac1e5d26969d67082bbcc9afc970dc8e61a6ff1f237d6b7d0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/knit/jobs/4281905009", "externalId" : "4281905009", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Director", "professionalSkills" : [ "Customer research", "Primary research", "Quant research", "Qual research", "Market research", "Research outcomes", "Research needs", "Research capabilities", "Research objectives", "Research projects", "Research insights", "Research reports", "Research SLAs", "Research delivery", "Research solutions", "Research scoping", "Research context", "Research quality", "Research speed", "Research innovation", "Research AI", "Research reports", "Research recommendations", "Research feedback", "Research vision", "Research outcomes", "Research objectives", "Research projects", "Research needs", "Research capabilities", "Research solutions", "Research scoping", "Research context", "Research quality", "Research speed", "Research innovation", "Research AI", "Research reports", "Research recommendations", "Research feedback", "Research vision", "Customer retention", "Customer expansion", "Net revenue retention", "New business acquisition", "Stakeholder readiness", "People management", "Performance management", "Conflict resolution", "Morale building", "Upsells", "Business objectives", "Customer success", "Value realization" ], "hardSkillsList" : [ "Quant questionnaire writing", "Qual questionnaire writing", "Analysis plan drafting", "Insights presentation", "Report creation", "People management", "Performance management", "Conflict resolution", "Morale building" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Quant questionnaire writing", "level" : "intermediate" }, { "name" : "Qual questionnaire writing", "level" : "intermediate" }, { "name" : "Analysis plan drafting", "level" : "intermediate" }, { "name" : "Insights presentation", "level" : "intermediate" }, { "name" : "Report creation", "level" : "intermediate" }, { "name" : "People management", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Conflict resolution", "level" : "intermediate" }, { "name" : "Morale building", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Customer Success, Market Research, AI Product Innovation", "majorSkillsList" : [ "Customer Success", "Market Research", "AI Product Innovation" ], "coreResponsibilities" : "Serve as dedicated research lead for customer projects, Be accountable for research project success, Drive in-depth project scoping, Uncover deep understanding of research objectives, Uncover deep understanding of project context, Set up project success, Serve as strategic problem solver for customers, Serve as research subject matter expert partner, Propose solutions to business needs, Propose solutions to research needs, Serve as solutions architect for customers, Educate customers on research capabilities, Consult with customers to adjust for fringe requirements, Propose solutions to maximize project success, Maintain customer context, Enrich customer context, Improve ability to meet custom research needs, Participate in continuous innovation on AI product, Minimize delta between AI output and human output, Approve final topline delivery, Present key insights to customers, Present recommendations to customers, Collect feedback on the last mile, Uncover what happens after delivery, Document stakeholder readiness process, Support product vision for stakeholder ready reports, Manage direct reports, Ensure direct reports fulfill responsibilities, Ensure direct reports grow in impact, Drive performance of direct reports, Drive clarity and accountability for direct reports, Hire direct reports, Onboard direct reports, Upskill competencies of direct reports, Manage performance of direct reports, Resolve conflict for direct reports, Build morale of direct reports", "teamCollaboration" : "Cross-functional teams; Customer insights professionals", "projectManagementSkills" : [ "Project scoping", "Project success" ], "domainKnowledge" : "Consumer research; AI-native platform; Primary research; Quant research; Qual research; Enterprise research; Fortune 500 research; Insights professionals", "domainList" : [ "consumer-research", "ai-native-platform", "primary-research", "quant-research", "qual-research", "enterprise-research", "fortune-500-research", "insights-professionals" ], "domainSpecificKnowledge" : [ "Consumer research", "AI-native platform", "Primary research", "Quant research", "Qual research", "Enterprise research", "Fortune 500 research", "Insights professionals" ], "communicationSkills" : "Presenting insights; Presenting recommendations", "documentationSkills" : "Documenting project scoping; Documenting customer context; Documenting feedback", "innovationCreativity" : "Continuous innovation on AI product", "problemSolvingSkills" : "Strategic problem solver; Propose solutions", "outcomesObjectives" : "Achieve desired research outcomes; Deliver on Quality SLAs; Deliver on Speed SLAs; Achieve Research Objectives; Positive customer retention; Customer expansion; Net Revenue Retention; Successful Pilot to Subscription Conversions; Maximize project success", "qualificationsBasic" : "8+ years market research experience, Supplier side market research agency experience, Experience leading discovery calls, Experience leading scoping calls, Experience writing quant questionnaires, Experience editing quant questionnaires, Experience writing qual questionnaires, Experience editing qual questionnaires, Experience drafting analysis plans, Experience creating stakeholder-ready insights topline, Experience presenting stakeholder-ready insights topline, Experience creating stakeholder-ready reports, Experience presenting stakeholder-ready reports, Ability to drive initiatives in ambiguous environments, Proven track record owning client relationships, Experience with Enterprise Fortune 500 companies, Experience working with insights professionals, Ability to drive initiatives with competing priorities, Ability to manage multiple research projects, Ability to manage simultaneous business demands, Effective people management skills, People management driving clarity, People management driving accountability, People management hiring, People management onboarding, People management performance management, People management conflict resolution, People management morale building", "qualificationsPreferred" : "Proven track record operating in early stage startup", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "A little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we’ve condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We’re on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what’s possible. Overview The purpose of the Research Director role is to ensure Knit customers successfully achieve their desired research outcomes through their partnerships with Knit. By owning customer relationships, getting deeply engrained in customer research needs, and driving high-quality project deliverables, the Research Director’s impact is ultimately measured by positive customer retention and expansion. Responsibilities | What you will own... The research function is a primary contributor to Knit’s shared business objectives of customer retention and upsells, ultimately measured by Net Revenue Retention (NRR) in addition to supporting successful Pilot to Subscription Conversions for acquiring new business. The levers the Research Director role owns to influence these key business objectives are: Research Success → Ensuring Knit Customers successfully achieve their desired research outcomes through their projects with Knit, measured by successfully achieving Research Objectives and delivering on Knit’s Quality & Speed service-level agreements (SLA’s) Primary responsibilities of this role: Serving as the dedicated research lead for all customers’ projects (on assigned accounts) and serving as the ultimate accountable party for research project success Driving and documenting in-depth project scoping to uncover a deep understanding of research objectives and project context to set up project success Driving as the strategic problem solver and research subject matter expert partner for customers, effectively being able to propose solutions to business & research needs Driving as a solutions architect for customers, educating them on Knit’s research capabilities, consulting with them to adjust for fringe requirements, and proposing solutions to maximize project success Driving, maintaining, and enriching all customer context to improve Knit’s ability to meet the customers’ custom research needs Participating in continuous innovation on Knit’s AI product to minimize the delta between Knit’s AI output and a human researcher output Being the final, customer-ready check and approver on all Knit final topline delivery and presenting the key insights and recommendations directly to the customers Driving on feedback collection on “the last mile” - uncovering and documenting what happens after Knit delivers a project to when it’s “stakeholder ready,” supporting Knit’s product vision in getting to stakeholder ready reports Successful & effective people management of direct reports, ensuring they are successfully fulfilling their role’s responsibilities and growing in impact (People Management at Knit includes driving performance, driving clarity and accountability, hiring, onboarding, upskilling competencies, performance management, conflict resolution, and morale building.) Required Skills & Experiences Required: Must have 8+ years of market research experience, with the majority of the time spent on the supplier side in a market research agency environment. Must have experience leading discovery and scoping calls, writing and editing quant and qual questionnaires from scratch, drafting analysis plans, and creating and presenting stakeholder-ready insights topline & reports. Ability to drive initiatives and outcomes in ambiguous environments, both for navigating complex customer needs and Knit internal business changes. Proven track record successfully operating in an early stage startup (<50 employees) is a plus. Proven track record of owning client relationships with customers at Enterprise, Fortune 500 US-based companies, specifically working with insights professionals to scope and achieve desired research outcomes, resulting in customer retention and growth. Ability to drive initiatives and outcomes successfully in environments with competing priorities, multiple research projects on at a given time, and simultaneous internal business demands. Effective People Manager both cross-functionally and at the team level - specifically in driving clarity and accountability, hiring, onboarding, performance management, conflict resolution, and morale building. Benefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $140,000 - $160,000. Final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: Are 1% better every day: We approach situations with a growth mindset and ask, “How can we make the business better?” and “What would it take?” Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through). Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. Pay Range $140,000—$160,000 USD Knit Privacy Policy here. CCPA disclosure here.", "summaryDescription" : "Research Director at Knit. Skills: Customer Success, Market Research, AI Product Innovation. Serve as dedicated research lead for customer projects. Be accountable for research project success", "postedDate" : "2026-06-12T21:42:34.790", "createdAt" : "2026-06-12T21:42:34.790", "lastUpdated" : "2026-06-14T22:37:04.035", "ingestTimestamp" : "2026-06-12T21:42:34.790", "mongoId" : "6a2c5e1874d8ee00a08e1138", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quant questionnaire writing", "Qual questionnaire writing", "Analysis plan drafting", "Insights presentation", "Report creation", "People management", "Performance management", "Conflict resolution", "Morale building", "Leadership", "Customer Success", "Market Research", "AI Product Innovation", "Customer research", "Primary research", "Quant research", "Qual research", "Market research", "Research outcomes", "Research needs", "Research capabilities", "Research objectives", "Research projects", "Research insights", "Research reports", "Research SLAs", "Research delivery", "Research solutions", "Research scoping", "Research context", "Research quality", "Research speed", "Research innovation", "Research AI", "Research recommendations", "Research feedback", "Research vision", "Customer retention", "Customer expansion", "Net revenue retention", "New business acquisition", "Stakeholder readiness", "Upsells", "Business objectives", "Customer success", "Value realization", "Project scoping", "Project success", "Consumer research", "AI-native platform", "Enterprise research", "Fortune 500 research", "Insights professionals" ], "skillCount" : 53, "jobCategory" : "other", "jobSubcategory" : "research", "dataQualityScore" : 0.8888889, "_score" : 562.361, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c5e1874d8ee00a08e1139", "title" : "Research Manager", "company" : "Knit", "industry" : "Technology", "salary" : { "min" : 115000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States (Remote)", "locations" : [ "United States (Remote)" ], "timestamp" : "2026-06-14T18:56:34.987", "fingerprint" : "91f9c9488bd7bb9b4e80b12975d81977034162d2b1c16a10b1653e337014b2cd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/knit/jobs/4281989009", "externalId" : "4281989009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Market research", "Customer research", "Primary research", "Quant research", "Qual research", "Insights generation", "Stakeholder reporting" ], "hardSkillsList" : [ "Questionnaire writing", "Analysis planning", "Report creation", "Client relationship management" ], "hardSkills" : [ { "name" : "Questionnaire writing", "level" : "intermediate" }, { "name" : "Analysis planning", "level" : "intermediate" }, { "name" : "Report creation", "level" : "intermediate" }, { "name" : "Client relationship management", "level" : "intermediate" } ], "majorSkills" : "Customer success, Research management, Client relationship management", "majorSkillsList" : [ "Customer success", "Research management", "Client relationship management" ], "coreResponsibilities" : "Serve as dedicated research lead for customer projects, Serve as ultimate accountable part for research project, Drive and document in-depth project scoping, Uncover deep understanding of research objectives and project, Educate customers on Knit's research capabilities, Consult with customers to adjust for fringe requirements, Propose solutions to maximize project success, Escalate to Research Directors when needs exceed capabilities, Support troubleshooting when increased risk for project viability, Drive, maintain, and enrich all customer context, Improve Knit's ability to meet customers' custom research, Be the final, customer-ready check and approver on, Present key insights and recommendations directly to customers, Participate in continuous innovation on Knit's AI product, Minimize delta between Knit's AI output and human, Drive on feedback collection on 'the last mile', Uncover and document what happens after Knit delivers, Support Knit's product vision in getting to stakeholder", "teamCollaboration" : "Customer relationships; Customer research needs; Customer retention; Customer success; Customer value realization", "projectManagementSkills" : [ "Project scoping", "Project deliverables" ], "domainKnowledge" : "AI-native consumer research; Researcher-Driven AI; Quant research; Qual research; Primary research", "domainList" : [ "ai-native-consumer-research", "researcher-driven-ai", "quant-research", "qual-research", "primary-research" ], "domainSpecificKnowledge" : [ "AI-native consumer research", "Researcher-Driven AI", "Quant research", "Qual research", "Primary research" ], "communicationSkills" : "Presenting insights; Presenting recommendations", "documentationSkills" : "Documenting project scoping", "innovationCreativity" : "Continuous innovation on Knit's AI product", "problemSolvingSkills" : "Troubleshooting", "outcomesObjectives" : "Achieve desired research outcomes; Deliver on Knit's Quality & Speed SLAs; Achieve Research Objectives; Successful Pilot to Subscription Conversions; Positive customer retention; Net Revenue Retention (NRR)", "qualificationsBasic" : "5+ years market research experience, Majority of time spent on supplier side in market research agency, Experience leading discovery and scoping calls, Writing and editing quant and qual questionnaires from scratch, Drafting analysis plans, Creating and presenting stakeholder-ready insights topline & reports, Ability to drive initiatives and outcomes in ambiguous environments, Proven track record of owning and supporting client relationships with Enterprise, Fortune 500 US-based companies, Working with insights professionals to scope and achieve desired research outcomes, Ability to drive initiatives and outcomes successfully in environments with competing priorities, Multiple research projects on at a given time, Simultaneous internal business demands", "qualificationsPreferred" : "Proven track record successfully operating in an early stage startup (<50 employees) is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "A little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we’ve condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We’re on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what’s possible. Overview The purpose of the Research Manager role is to ensure Knit customers successfully achieve their desired research outcomes through their partnerships with Knit. By owning and supporting customer relationships, getting deeply engrained in customer research needs, and driving high-quality project deliverables, the Research Manager’s impact is ultimately measured by positive customer retention. Responsibilities | What you will own... The research function is a primary contributor to Knit’s shared business objectives of customer retention and upsells, ultimately measured by Net Revenue Retention (NRR) in addition to supporting successful Pilot to Subscription Conversions for acquiring new business. The levers the Research Director role owns to influence these key business objectives are: Research Success → Ensuring Knit Customers successfully achieve their desired research outcomes through their projects with Knit, measured by successfully achieving Research Objectives and delivering on Knit’s Quality & Speed service-level agreements (SLA’s) Primary responsibilities of this role: Serving as the dedicated research lead for all customers’ projects (on assigned accounts) and serving as the ultimate accountable part for research project success Driving and documenting in-depth project scoping to uncover a deep understanding of research objectives and project context to set up project success Demonstrate a growth mindset as a solutions architect for customers, educating them on Knit’s research capabilities, consulting with them to adjust for fringe requirements, and proposing solutions to maximize project success - escalating to Research Directors when needs exceed capabilities Escalating needs to Research Directors to support troubleshooting when increased risk for project viability or customer impact occurs Driving, maintaining, and enriching all customer context to improve Knit’s ability to meet the customers’ custom research needs Being the final, customer-ready check and approver on all Knit final topline delivery and presenting the key insights and recommendations directly to the customers Participating in continuous innovation on Knit’s AI product to minimize the delta between Knit’s AI output and a human researcher output Driving on feedback collection on “the last mile” - uncovering and documenting what happens after Knit delivers a project to when it’s “stakeholder ready,” supporting Knit’s product vision in getting to stakeholder ready reports Required Skills & Experiences Required: Must have 5+ years of market research experience, with the majority of the time spent on the supplier side in a market research agency environment. Must have experience leading discovery and scoping calls, writing and editing quant and qual questionnaires from scratch, drafting analysis plans, and creating and presenting stakeholder-ready insights topline & reports. Ability to drive initiatives and outcomes in ambiguous environments, both for navigating complex customer needs and Knit internal business changes. Proven track record successfully operating in an early stage startup (<50 employees) is a plus. Proven track record of owning and supporting client relationships with customers at Enterprise, Fortune 500 US-based companies, specifically working with insights professionals to scope and achieve desired research outcomes, resulting in customer retention and growth. Ability to drive initiatives and outcomes successfully in environments with competing priorities, multiple research projects on at a given time, and simultaneous internal business demands. Benefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $115,000 - $130,000. Final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: Are 1% better every day: We approach situations with a growth mindset and ask, “How can we make the business better?” and “What would it take?” Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through). Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. Pay Range $115,000—$130,000 USD Knit Privacy Policy here. CCPA disclosure here.", "summaryDescription" : "Research Manager at Knit. Skills: Customer success, Research management, Client relationship management. Serve as dedicated research lead for customer projects. 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Today, our expertise extends broadly across closely related security and risk-based fields – from accessibility consulting and risk analysis to process safety, forensic investigations, security risk consulting, emergency management, digital innovation and more. Our engineers and consultants collaborate to solve complex safety and security challenges, ensuring our clients can protect what matters most. For over 80 years, we have helped mitigate risks that threaten lives, property and reputations. Through technology, expertise and industry-leading research, we remain dedicated to our purpose of making our world safe, secure and resilient. At Jensen Hughes, we believe that creating and sustaining a culture of trust, integrity and professional growth starts with putting our people first. Our employees are our greatest strength, and we value the unique perspectives and talents they bring to our organization. Our wide range of Global Employee Networks connect people from across the organization, supporting career development and providing forums for individuals to share experiences on topics they're passionate about. Together, we are cultivating a connected culture where everyone has the opportunity to learn, grow and succeed together. Jensen Hughes is looking to hire and Intern for our Concord, CA office. Responsibilities: Performs a variety of technical, both routine and moderately complex tasks that provide familiarity with programs, staff, and operating procedures. Collaborate and work under the direction of engineers to support Probabilistic Risk Analysis development and application Performs developmental assignments involving the application of standard engineering techniques, procedures, and criteria in carrying out routine engineering tasks under close supervision. Applies prescribed method to complete limited and specific portions of the broader assignment of an experienced engineer, adjusts and correlates data, recognizes discrepancies in results and follows operations through a series of related detailed steps or processes. Qualifications: Working towards a Bachelor’s or Master’s degree in Electrical, Mechanical, Chemical, or other related engineering fields At least two years of undergraduate schooling Responsible self-starter with problem solving and reasoning skills Demonstrate effective written and oral communication skills to write reports, business correspondence, presentations and procedure manuals, and to respond to questions from groups of managers, clients, and the public Passion for advancing the science of making our world safe, secure and resilient and exceeding our client expectations #LI-KS1 Please note that the salary range provided is a good faith estimate for the position at the time of posting and not a guarantee of compensation. Final compensation may vary based on factors, including but not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities, geographic location, internal equity, alignment with market data. Jensen Hughes offers a competitive total rewards package, which includes a retirement plan, healthcare coverage, and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position and location. National Pay Range $20—$30 USD Jensen Hughes is an Equal Opportunity Employer. Qualified candidates will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. At Jensen Hughes, we embrace innovation and understand that people are increasingly using artificial intelligence (AI) tools like ChatGPT and other generative platforms to learn, prepare and communicate. We have provided some guidelines regarding the responsible use of AI in the recruitment process. Please click here to review. The security of your personal data is important to us. Jensen Hughes has implemented reasonable physical, technical, and administrative security standards to protect personal data from loss, misuse, alteration, or destruction. We protect your personal data against unauthorized access, use, or disclosure, using security technologies and procedures, such as encryption and limited access. Only authorized individuals may access your personal data for the purpose for which it was collected, and these individuals receive training about the importance of protecting personal data. Jensen Hughes is committed to compliance with all relevant data privacy laws in all areas where we do business, including, but not limited to, the GDPR and the CCPA. Additionally, our service providers are contractually bound to maintain the confidentiality of personal data and may not use the information for any unauthorized purpose. *Policy on use of 3rd party recruiting agency for direct placements Jensen Hughes will occasionally augment a recruiting search through agencies for certain positions when business conditions warrant. Jensen Hughes will not accept resumes, inquiries or proposals from recruiting agencies as an acceptable method to consider a candidate. 3rd party recruiting agencies must sign a standard Jensen Hughes agreement after being evaluated and accepted by a Human Resources or Talent Acquisition manager, or member of the talent acquisition team. Hiring managers and employees of Jensen Hughes are not authorized to accept resumes, engage in fee-based searches through recruiting firms or sign a search agreement. Please note this policy does not apply to “staffing firms” or firms that are involved with hiring temporary staff. Any recruiting agency interested in being considered may contact our recruiting team at jensenhughesrecruiting.com.", "summaryDescription" : "Intern at Jensen Hughes. Skills: Fire protection engineering, Risk assessment, Security consulting. Perform technical tasks. 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Canada", "employmentType" : "INTERNSHIP", "minimumEducation" : "Master's", "technicalSkills" : "Python, PyTorch, JAX, Machine Learning, Deep Learning, Optimization, Representation Learning, Foundation Models, Large Language Models, Reinforcement Learning, Agentic Systems, Graph Data", "professionalSkills" : [ "Research", "Product Intelligence", "Causal Reasoning", "Agentic Systems", "Representation Learning", "Foundation Models", "Reinforcement Learning", "Product Development" ], "hardSkillsList" : [ "Machine Learning", "Deep Learning", "Optimization", "Representation Learning", "Foundation Models", "Reinforcement Learning", "Causal Reasoning", "Agentic Systems", "Long-horizon planning", "Decision-making", "Reward modeling", "Preference learning", "Counterfactual evaluation", "Credit assignment", "Simulated environments", "Longitudinal evaluation", "Decision quality metrics", "Safety benchmarks", "Reliability benchmarks" ], "hardSkills" : [ { "name" : "Machine Learning", "level" : "intermediate" }, { "name" : "Deep Learning", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "Representation Learning", "level" : "intermediate" }, { "name" : "Foundation Models", "level" : "intermediate" }, { "name" : "Reinforcement Learning", "level" : "intermediate" }, { "name" : "Causal Reasoning", "level" : "intermediate" }, { "name" : "Agentic Systems", "level" : "intermediate" }, { "name" : "Long-horizon planning", "level" : "intermediate" }, { "name" : "Decision-making", "level" : "intermediate" }, { "name" : "Reward modeling", "level" : "intermediate" }, { "name" : "Preference learning", "level" : "intermediate" }, { "name" : "Counterfactual evaluation", "level" : "intermediate" }, { "name" : "Credit assignment", "level" : "intermediate" }, { "name" : "Simulated environments", "level" : "intermediate" }, { "name" : "Longitudinal evaluation", "level" : "intermediate" }, { "name" : "Decision quality metrics", "level" : "intermediate" }, { "name" : "Safety benchmarks", "level" : "intermediate" }, { "name" : "Reliability benchmarks", "level" : "intermediate" } ], "majorSkills" : "Representation Learning, Foundation Models, Reinforcement Learning, Agentic Systems", "majorSkillsList" : [ "Representation Learning", "Foundation Models", "Reinforcement Learning", "Agentic Systems" ], "coreResponsibilities" : "Frame research problems, Develop research methods, Run research experiments, Publish research findings, Ship work into production systems, Build customer world models, Develop proactive intelligence systems, Build agentic decision systems, Develop learning from feedback loops, Build evaluation frameworks", "domainKnowledge" : "Customer World Model; Proactive Intelligence; Representation Learning; Foundation Models; Reinforcement Learning; Causal Reasoning; Agentic Systems; Product Intelligence; Event Streams; Financial Activity; Behavioral Data; Multi-modal Data; Structured Data; Sequential Data; Graph Data; Memory Architectures; Opportunity Detection; Next-best-action; Long-horizon Planning; Preference Inference; Goal Inference; Agentic Systems; Tool Use; Autonomous Workflow Execution; Recovery Under Uncertainty; Adaptation Under Uncertainty; Real-world Outcomes; Reinforcement Learning; Reward Modeling; Preference Learning; Counterfactual Evaluation; Credit Assignment; Long Decision Horizons; Simulated Customer Environments; Longitudinal Evaluation; Decision Quality Metrics; Safety Benchmarks; Reliability Benchmarks", "domainList" : [ "customer-world-model", "proactive-intelligence", "representation-learning", "foundation-models", "reinforcement-learning", "causal-reasoning", "agentic-systems", "product-intelligence", "event-streams", "financial-activity", "behavioral-data", "multi-modal-data", "structured-data", "sequential-data", "graph-data", "memory-architectures", "opportunity-detection", "next-best-action", "long-horizon-planning", "preference-inference", "goal-inference", "tool-use", "autonomous-workflow-execution", "recovery-under-uncertainty", "adaptation-under-uncertainty", "real-world-outcomes", "reward-modeling", "preference-learning", "counterfactual-evaluation", "credit-assignment", "long-decision-horizons", "simulated-customer-environments", "longitudinal-evaluation", "decision-quality-metrics", "safety-benchmarks", "reliability-benchmarks" ], "domainSpecificKnowledge" : [ "Customer World Model", "Proactive Intelligence", "Representation Learning", "Foundation Models", "Reinforcement Learning", "Causal Reasoning", "Agentic Systems", "Product Intelligence", "Event Streams", "Financial Activity", "Behavioral Data", "Multi-modal Data", "Structured Data", "Sequential Data", "Graph Data", "Memory Architectures", "Opportunity Detection", "Next-best-action", "Long-horizon Planning", "Preference Inference", "Goal Inference", "Agentic Systems", "Tool Use", "Autonomous Workflow Execution", "Recovery Under Uncertainty", "Adaptation Under Uncertainty", "Real-world Outcomes", "Reinforcement Learning", "Reward Modeling", "Preference Learning", "Counterfactual Evaluation", "Credit Assignment", "Long Decision Horizons", "Simulated Customer Environments", "Longitudinal Evaluation", "Decision Quality Metrics", "Safety Benchmarks", "Reliability Benchmarks" ], "toolProficiency" : [ "PyTorch", "JAX" ], "continuousLearning" : "Opportunities to publish; Contribute to open-source projects", "innovationCreativity" : "Prototype development; Research problem end-to-end", "problemSolvingSkills" : "Reasoning over customer state; Make better decisions; Learn continuously from outcomes", "outcomesObjectives" : "Ship production systems; Publish work in same year", "qualificationsBasic" : "MS or PhD program enrollment, Foundations in modern machine learning, Experience conducting independent research, Fluency in Python, Experience with PyTorch, JAX, or similar frameworks, Evidence of research excellence", "qualificationsPreferred" : "Experience with large language models, Experience with agentic systems, Experience with reinforcement learning, Experience with reward modeling, Experience with sequential decision-making, Experience with representation learning for structured, temporal, or graph data, Familiarity with large-scale training and production ML systems, Interest in building AI systems that directly affect customer outcomes", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Team: Apollo — Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op — 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads Block's efforts to build the Customer World Model (CWM): a continuously evolving representation of each customer's goals, context, history, constraints, and likely future needs. The CWM powers proactive intelligence across Block's ecosystem. Instead of customers navigating products in search of features, intelligence observes their world, understands what matters, anticipates what comes next, and initiates actions on their behalf. We believe the next generation of AI products will not be defined by chat interfaces or isolated agents. They will be defined by rich world models that enable systems to reason over a customer's evolving state, make better decisions, and learn continuously from outcomes. Apollo designs, prototypes, and guides the development of this intelligence layer. About the role We're hiring a small cohort of graduate research interns to help build the foundations of proactive intelligence. This is not a traditional internship. You'll own a research problem end-to-end: framing the question, developing methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers. You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build smarter models, but to build systems that develop a deeper understanding of customers and use that understanding to make better decisions over time. Past interns have shipped production systems within months and published their work in the same year. What you'll work on Depending on your interests and Apollo's roadmap, you'll focus on one or more of the following areas: Customer World Models Building rich representations of customers from event streams, financial activity, operational signals, and behavioral data. Examples include: Representation learning over long-horizon customer histories Event-based foundation models Multi-modal customer representations spanning structured, sequential, and graph data Memory architectures for long-term customer understanding Proactive Intelligence Developing systems that can anticipate customer needs and initiate helpful actions before being asked. Examples include: Opportunity detection and next-best-action systems Long-horizon planning and decision-making Preference and goal inference Learning when intervention creates value versus friction Agentic Decision Systems Building agents that reason over customer world models and take actions in real environments. Examples include: Tool use and planning Multi-step reasoning over customer state Autonomous workflow execution Recovery and adaptation under uncertainty Learning from Feedback Loops Developing methods that allow intelligence to improve continuously from real-world outcomes. Examples include: Reinforcement learning from customer and product feedback Reward modeling and preference learning Counterfactual evaluation Credit assignment over long decision horizons Evaluation and Measurement Building evaluation frameworks that predict real-world performance, trust, and customer value. Examples include: Simulated customer environments Longitudinal evaluation Decision quality metrics Safety and reliability benchmarks What we're looking for We're looking for researchers interested in building systems that understand people, learn from experience, and improve over time. Required Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op. Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. Experience conducting independent research and translating ideas into working systems. Fluency in Python and experience with PyTorch, JAX, or similar frameworks. Evidence of research excellence through publications, open-source contributions, technical leadership, or equivalent work. Nice to have Experience with large language models and agentic systems. Experience with reinforcement learning, reward modeling, or sequential decision-making. Experience with representation learning for structured, temporal, or graph data. Familiarity with large-scale training and production ML systems. Interest in building AI systems that directly affect customer outcomes. What you'll get Direct mentorship from researchers working on the future of proactive intelligence at Block. Access to large-scale datasets, modern infrastructure, frontier models, and substantial compute resources. Opportunities to publish and contribute to open-source projects. A chance to shape foundational technology that could power the next generation of Block products. Exposure to both scientific research and product deployment, with a clear path from idea to impact. Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Privacy Policy", "summaryDescription" : "Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op) at Block. Skills: Representation Learning, Foundation Models, Reinforcement Learning, Agentic Systems. Frame research problems. Develop research methods", "postedDate" : "2026-06-11T22:09:44.772", "createdAt" : "2026-06-11T22:09:44.772", "lastUpdated" : "2026-06-14T21:16:54.402", "ingestTimestamp" : "2026-06-11T22:09:44.772", "mongoId" : "6a2a534c74d8ee00a05fd932", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Machine Learning", "Deep Learning", "Optimization", "Representation Learning", "Foundation Models", "Reinforcement Learning", "Causal Reasoning", "Agentic Systems", "Long-horizon planning", "Decision-making", "Reward modeling", "Preference learning", "Counterfactual evaluation", "Credit assignment", "Simulated environments", "Longitudinal evaluation", "Decision quality metrics", "Safety benchmarks", "Reliability benchmarks", "Research", "Product Intelligence", "Product Development", "Customer World Model", "Proactive Intelligence", "Event Streams", "Financial Activity", "Behavioral Data", "Multi-modal Data", "Structured Data", "Sequential Data", "Graph Data", "Memory Architectures", "Opportunity Detection", "Next-best-action", "Long-horizon Planning", "Preference Inference", "Goal Inference", "Tool Use", "Autonomous Workflow Execution", "Recovery Under Uncertainty", "Adaptation Under Uncertainty", "Real-world Outcomes", "Reward Modeling", "Preference Learning", "Counterfactual Evaluation", "Credit Assignment", "Long Decision Horizons", "Simulated Customer Environments", "Longitudinal Evaluation", "Decision Quality Metrics", "Safety Benchmarks", "Reliability Benchmarks", "PyTorch", "JAX" ], "skillCount" : 54, "jobCategory" : "other", "jobSubcategory" : "10109-risk---prod-dev---cash-app", "dataQualityScore" : 0.8888889, "_score" : 561.0835, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a8a7b74d8ee00a06820df", "title" : "Systems Architect – Model Based Systems Engineer (MBSE) (Associate, Experienced or Lead)", "company" : "Boeing", "salary" : { "min" : 98600.0, "max" : 133400.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - El Segundo, CA", "locations" : [ "USA - El Segundo, CA", "United States of America" ], "timestamp" : "2026-06-13T06:46:59.584", "fingerprint" : "cd9241943b05e48c1687f7d3d96a7c4724c3daeb1ebe33fdca9ef3aabf7cd0f1", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/EXTERNAL_CAREERS/job/USA---El-Segundo-CA/Systems-Architect---Model-Based-Systems-Engineer--MBSE---Associate--Experienced-or-Lead-_JR2026511404-1", "externalId" : "JR2026511404", "locationPoint" : "33.91918,-118.41647", "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SysML, UAF", "professionalSkills" : [ "Systems engineering", "Architecture development", "Model-based engineering" ], "hardSkillsList" : [ "Systems modeling", "Requirements traceability", "Mission threads analysis", "Use case analysis" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Systems modeling", "level" : "intermediate" }, { "name" : "Requirements traceability", "level" : "intermediate" }, { "name" : "Mission threads analysis", "level" : "intermediate" }, { "name" : "Use case analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "SysML, Architecture development", "majorSkillsList" : [ "SysML", "Architecture development" ], "coreResponsibilities" : "Decompose system requirements, Allocate logical architecture, Capture system requirements traceability, Apply MBSE methodology, Develop system architectural views, Analyze MBSE models, Derive system ConOps, Use mission threads, Use use case scenario analyses, Utilize system architecture model, Support systems engineering milestone reviews, Ensure system models compliance, Review customer reference architecture model, Translate customer reference architecture model, Provide input to improve MBSE training, Provide input to improve MBSE processes, Provide input to improve MBSE tools, Mentor systems engineers", "teamCollaboration" : "Multi-discipline team", "domainKnowledge" : "Space systems; Digital engineering", "domainList" : [ "space-systems", "digital-engineering" ], "domainSpecificKnowledge" : [ "Space systems", "Digital engineering" ], "toolProficiency" : [ "Cameo" ], "communicationSkills" : "Customer relationships", "documentationSkills" : "Interface control documentation", "continuousLearning" : "MBSE training improvement", "problemSolvingSkills" : "Creative solutions", "specialRequirements" : "100% onsite, US Citizenship required, U. S. Person required", "qualificationsBasic" : "Ability to obtain US Security Clearance, US Citizenship required, Interim U. S. Secret Clearance Post-Start required, Bachelor of Science degree, 1+ years systems engineering experience, 1+ years MBSE modeling experience, Experience with SysML, Experience with UAF, Experience implementing model-based approaches, Experience with model-derived ConOps development, Experience with interface control documentation, Experience with technical specification review, Experience with architecture development", "qualificationsPreferred" : "5+ years related work experience, 9+ years related work experience, 1+ years aerospace experience, 1+ years defense industry experience, 1+ years high-tech industry experience, Ability to influence diverse audiences, Provide technical recommendations, Provide programmatic recommendations, Experience leading technical teams, Experience leading projects", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Systems Architect – Model Based Systems Engineer (MBSE) (Associate, Experienced or Lead) **Company:** The Boeing Company Boeing Defense, Space & Security (BDS), Space Mission Systems (SMS) Division, seeks a **System Architect - Model Based Systems Engineer (MBSE) (Associate, Experienced or Lead)** to join the Space Systems Engineering team in **El Segundo, California.** Our team works with Commercial, Government, and Proprietary Customers in the development and deployment of next-generation technologies and systems in Space. The candidate will demonstrate the ability to provide high impact, creative solutions to complex technical problems, the ability to work as part of a large team, and the ability to provide critical support and independent review of the work of teammates. Our team is currently hiring for a broad range of experience levels including experienced and senior level engineers. **Position Responsibilities** : * Work collaboratively with a multi-discipline team to decompose system requirements into functional and logical architectures and allocate logical architecture to physical implementation. * Capture system requirements traceability within the system architecture model. * Apply model-based system engineering (MBSE) methodology to develop system architectural views using Systems Modeling Language (SysML). * Analyze MBSE models to derive system ConOps through use of mission threads and use case scenario analyses. * Utilize the system architecture model in support of systems engineering milestone reviews such as SRR, SDR, PDR, CDR, etc. * Ensure that system models are compliant to a standard outlined by the Customer approved style guide and the internal systems architecture/MBSE development plan. * Review and translate Customer reference architecture model to internal architecture model. * Provide input to continuously improve MBSE training, processes, and tools. * Mentor systems engineers in MBSE processes and tools. * Foster strong customer relationships. **This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the listed location.** **Basic Qualifications (Required Skills/Experience):** * **This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment.** An interim and/or final U.S. Secret Clearance Post-Start is required * Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science * 1+ years of experience with systems engineering processes and tools * 1+ years of experience creating MBSE systems models in Cameo, Magic Systems of Systems Architect (MSOSA), or similar software * Experience with Systems Modeling Language (SysML) and Unified Architecture Framework (UAF) * Previous experience implementing model-based approaches on engineering projects/programs, ensuring seamless integration of delivered models within the receiving architecture and digital engineering platform * Experience with model-derived ConOps requirements development, interface control documentation, technical specification review, architecture development **Preferred Qualifications (Desired Skills/Experience):** * **Experienced, Level 3** : 5+ years of related work experience * **Lead, Level 4** : 9+ years of related work experience * 1+ years of experience within the aerospace, defense, or similar high-tech industry * Strong communication skills, with the ability to effectively influence diverse audiences on digital concepts and technologies, from business leaders to technologists * Ability to provide technical and programmatic recommendations on the development, integration, and use of digital engineering and model-based systems engineering (MBSE) concepts and structures * Experience leading technical teams or projects **Conflict of Interest:** Successful candidate for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. **Typical Education/Experience:** **Associate, Level 2:** Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 2 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. **Experienced, Level 3:** Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. **Lead, Level 4:** Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. **Relocation:** This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. **Drug Free Workplace:** Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies _._ **Pay & Benefits:** At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Associate, Level 2: $98,600 - $133,400 Summary Pay Range for Experienced, Level 3: $119,850 - $162,150 Summary Pay Range for Lead, Level 4: $146,200 - $197,800 **Language Requirements:** Not Applicable **Education:** Bachelor's Degree or Equivalent **Relocation:** This position offers relocation based on candidate eligibility. **Export Control Requirement:** This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Systems Architect – Model Based Systems Engineer (MBSE) (Associate, Experienced or Lead) at Boeing. Skills: SysML, Architecture development. Decompose system requirements. Allocate logical architecture", "postedDate" : "2026-06-10T16:11:54.031", "createdAt" : "2026-06-11T16:11:53.745", "lastUpdated" : "2026-06-13T06:46:59.584", "ingestTimestamp" : "2026-06-11T16:11:53.745", "mongoId" : "6a2a8a7b74d8ee00a06820df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/EXTERNAL_CAREERS/job/USA---El-Segundo-CA/Systems-Architect---Model-Based-Systems-Engineer--MBSE---Associate--Experienced-or-Lead-_JR2026511404-1", "salaryAnnualMin" : 98600, "salaryAnnualMax" : 133400, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Systems modeling", "Requirements traceability", "Mission threads analysis", "Use case analysis", "Mentoring", "SysML", "Architecture development", "Systems engineering", "Model-based engineering", "Space systems", "Digital engineering", "Cameo" ], "skillCount" : 12, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 560.8607, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ac2f474d8ee00a06f86ab", "title" : "Senior Research Engineer", "company" : "Autodesk", "industry" : "Technology", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Engineer in London, UK, adjusted for Autodesk's size and the technology industry." }, "location" : "London, GBR", "locations" : [ "London, GBR", "United Kingdom" ], "timestamp" : "2026-06-14T22:19:27.908", "fingerprint" : "a824fc4233fed9d9ca670072961561ce05940a507e9663b727d6cfd5632da4b5", "source" : "workday", "language" : "en", "applyUrl" : "https://autodesk.wd1.myworkdayjobs.com/Ext/job/London-GBR/Senior-Research-Engineer_26WD98899-1", "externalId" : "26WD98899", "industryFunction" : { }, "locationPoint" : "36.47606,-119.44318", "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Agentic AI, Generative AI, Frontier models, Knowledge graphs, Simulation, APIs, Scripting", "professionalSkills" : [ "Applied research", "Creative engineering", "Product innovation", "Technology transfer", "Research culture", "Design thinking", "Creative processes", "Engineering judgment", "Domain knowledge", "Multidisciplinary environment", "Intellectual property" ], "hardSkillsList" : [ "Prototyping", "Rapid prototyping", "AI-assisted coding", "Experimental development" ], "softSkillsList" : [ "Curiosity" ], "hardSkills" : [ { "name" : "Prototyping", "level" : "intermediate" }, { "name" : "Rapid prototyping", "level" : "intermediate" }, { "name" : "AI-assisted coding", "level" : "intermediate" }, { "name" : "Experimental development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" } ], "majorSkills" : "Agentic AI, Generative AI, Design systems, Simulation", "majorSkillsList" : [ "Agentic AI", "Generative AI", "Design systems", "Simulation" ], "coreResponsibilities" : "Conduct applied research, Design, build, and test prototypes, Develop experimental workflows, Explore how AI can support design, Use AI-assisted development, Work with Autodesk products, Apply engineering judgment, Collaborate with colleagues, Contribute to research projects, Help translate research insights, Share findings clearly", "teamCollaboration" : "Autodesk Research colleagues; Multidisciplinary environment", "domainKnowledge" : "Design; Engineering; Making; Agentic AI workflows; Generative AI; Design systems; Simulation; Creative engineering; Frontier AI models; Knowledge graphs; MCP-style toolchains; Mechanical engineering; Product design; Industrial design; Manufacturing-aware design", "domainList" : [ "design", "engineering", "making", "agentic-ai-workflows", "generative-ai", "design-systems", "simulation", "creative-engineering", "frontier-ai-models", "knowledge-graphs", "mcp-style-toolchains", "mechanical-engineering", "product-design", "industrial-design", "manufacturing-aware-design" ], "domainSpecificKnowledge" : [ "Design", "Engineering", "Making", "Agentic AI workflows", "Generative AI", "Design systems", "Simulation", "Creative engineering", "Frontier AI models", "Knowledge graphs", "MCP-style toolchains", "Mechanical engineering", "Product design", "Industrial design", "Manufacturing-aware design" ], "toolProficiency" : [ "Autodesk products", "Research tools", "AI systems" ], "communicationSkills" : "Explain technical ideas", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Creative exploration; Creative medium; Creative workflows; Creative engineering; Creative exploration; Creative tools; Creative processes", "problemSolvingSkills" : "Evaluate designs; Refine ideas", "outcomesObjectives" : "Transform ideas into technologies; Shape future of design; Create new design experiences; Influence products or industry practice", "qualificationsBasic" : "Bachelor's or Master's degree, Few years relevant experience, Experience using AI tools, Understanding of design thinking, Engineering domain knowledge, Ability to build prototypes, Curiosity about agentic AI, Communication and collaboration skills, Comfort working in fast-paced environment, Hands-on mindset", "qualificationsPreferred" : "Deeper AI-enabled design experience, Experience with MCP tool-use frameworks, Applying AI to design experience, Familiarity with Autodesk products, Experience with simulation workflows, Experience developing prototypes, Experience in startup-like environments, Curiosity for exploring uncharted territory", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**Job Requisition ID #** 26WD98899 ## Senior Research Engineer, Agentic AI for Design and Make ### The Autodesk Research Team Autodesk Research partners with academia, industry, and government to explore the future of design, engineering, and making. Our teams combine scientific rigor with creative exploration to transform ideas into technologies that empower people to make anything. The Manufacturing Industry Futures team focuses on redefining how things are designed and made using data, automation, intelligence, and new forms of human-machine collaboration. We work at the intersection of applied research, industry needs, emerging technology, and Autodesk’s future platforms. ### Position Overview Autodesk Research is seeking a **Senior Research Engineer** to help shape the future of design and make through applied research in **agentic AI, generative AI, design systems, simulation, and creative engineering workflows**. This role is focused on a new research platform exploring completely new ways to design. We are interested in how frontier AI models, agents, knowledge graphs, simulation, and design tools can come together to help people imagine, explore, evaluate, and create in ways that are not possible today. This is not a role for someone focused only on foundational AI research. We are looking for someone who understands design, engineering, and creative technical workflows, and who is excited by using AI as a practical and creative medium for design and making. You should be curious about how AI can support design thinking, accelerate exploration, automate workflows, connect knowledge across tools, and help people move from intent to outcome. You will join a fast-paced, experimental, startup-like research team working on emerging AI technologies and their application to industry problems. You will build prototypes, work with both Autodesk products and research tools, experiment with agentic systems, and contribute to a strong research culture that supports innovation, publishing, invention, and technology transfer. This is an individual contributor role based in **London, United Kingdom**. We support hybrid work, and you will work with colleagues across Autodesk Research. ## Responsibilities * Conduct applied research into agentic AI workflows for design, engineering, and making. * Design, build, and test prototypes that explore new ways for people to create, evaluate, and refine designs using AI. * Develop experimental workflows that combine generative AI, frontier models, agents, MCP-style toolchains, knowledge graphs, design tools, simulation, and engineering data. * Explore how AI can support design thinking, creative exploration, ideation, iteration, decision-making, and the movement from concept to manufacturable or buildable outcomes. * Use AI-assisted development, rapid prototyping, and “vibe coding” approaches to quickly test ideas, build demonstrations, and learn from experiments. * Work with Autodesk products, prototype research tools, APIs, and emerging AI systems to create new design and make experiences. * Apply engineering judgment and domain knowledge to ensure AI-enabled workflows are useful, grounded, and relevant to real-world design and industry contexts. * Collaborate closely with Autodesk Research colleagues in a fast-moving, multidisciplinary environment. * Contribute to research projects from early concept through prototyping, experimentation, evaluation, and communication. * Help translate research insights into prototypes, intellectual property, publications, demonstrations, and potential future platform capabilities. * Share findings clearly through prototypes, technical documentation, presentations, demos, and research communication. ## Minimum Qualifications * Bachelor’s or Master’s degree in Engineering, Computer Science, Design Engineering, Mechanical Engineering, Industrial Design, Human-Computer Interaction, or a related field. * A few years of relevant industry, research, applied R&D, product innovation, or advanced prototyping experience. * Experience using AI tools, agents, generative AI systems, or AI-assisted workflows in creative, design, engineering, or technical contexts. * Strong understanding of design thinking, creative processes, and how people move from ideas to concepts, prototypes, simulations, or engineered outcomes. * Engineering domain knowledge, such as mechanical engineering, product design, industrial design, simulation, manufacturing-aware design, or related technical fields. * Ability to build prototypes quickly using modern software tools, AI-assisted coding, APIs, scripting, and experimental development workflows. * Curiosity about agentic AI, frontier models, tool-using AI systems, and new ways of interacting with design and engineering software. * Strong communication and collaboration skills, with the ability to work across disciplines and explain emerging technical ideas clearly. * Comfort working in a fast-paced, ambiguous research environment where ideas are tested, challenged, refined, and rapidly prototyped. * A hands-on mindset and a track record of experimenting with emerging technologies. ## Preferred Qualifications * Deeper experience with AI-enabled design, agentic systems, generative AI, frontier models, or AI-assisted software development. * Experience with MCP or similar tool-use frameworks, AI agents, multi-agent systems, knowledge graphs, retrieval-augmented generation, or AI orchestration workflows. * Experience applying AI to design, engineering, simulation, product development, creative tools, or digital making workflows. * Familiarity with design and engineering software, including Autodesk products such as Fusion, Forma, Revit, Inventor, or related tools. * Experience with simulation, optimisation, model-based design, computational design, or engineering analysis workflows. * Experience developing prototypes, research demos, publications, patents, or technologies that have influenced products or industry practice. * Experience working in startup-like, fast-paced, experimental, or highly ambiguous technical environments. * Curiosity for exploring uncharted territory and shaping the future of how people design and make things. ## ****Learn More**** **About Autodesk** Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! **Salary transparency** Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. **Belonging** We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: [_https://www.autodesk.com/company/global-belonging_](https://www.autodesk.com/company/global-belonging) **Are you an existing contractor or consultant with Autodesk?** Please search for open jobs and apply internally (not on this external site).", "summaryDescription" : "Senior Research Engineer at Autodesk. Skills: Agentic AI, Generative AI, Design systems, Simulation. Conduct applied research. Design, build, and test prototypes", "postedDate" : "2026-06-11T23:48:18.687", "createdAt" : "2026-06-11T23:48:18.614", "lastUpdated" : "2026-06-14T22:19:27.908", "ingestTimestamp" : "2026-06-11T23:48:18.614", "mongoId" : "6a2ac2f474d8ee00a06f86ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://autodesk.wd1.myworkdayjobs.com/Ext/job/London-GBR/Senior-Research-Engineer_26WD98899-1", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Prototyping", "Rapid prototyping", "AI-assisted coding", "Experimental development", "Curiosity", "Agentic AI", "Generative AI", "Design systems", "Simulation", "Applied research", "Creative engineering", "Product innovation", "Technology transfer", "Research culture", "Design thinking", "Creative processes", "Engineering judgment", "Domain knowledge", "Multidisciplinary environment", "Intellectual property", "Design", "Engineering", "Making", "Agentic AI workflows", "Frontier AI models", "Knowledge graphs", "MCP-style toolchains", "Mechanical engineering", "Product design", "Industrial design", "Manufacturing-aware design", "Autodesk products", "Research tools", "AI systems" ], "skillCount" : 34, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 558.43054, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2b975774d8ee00a0816d92", "title" : "Intern: Non-Tech", "company" : "Medtronic", "salary" : { "min" : 2400000.0, "max" : 3600000.0, "currency" : "ARS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level, part-time, non-tech intern in the healthcare industry in Buenos Aires, Argentina, adjusted for Medtronic's company size and industry." }, "location" : "Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina", "locations" : [ "Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina" ], "timestamp" : "2026-06-15T00:26:33.571", "fingerprint" : "bb658a187e9b0b6729c536684bf2c481708433ca4e2cb0852c6405586b5ee05a", "source" : "workday", "language" : "es", "applyUrl" : "https://medtronic.wd1.myworkdayjobs.com/RedeploymentMedtronicCareers/job/Buenos-Aires-Ciudad-Autnoma-de-Buenos-Aires-Argentina/Intern--Non-Tech_R66255", "externalId" : "R66255", "locationPoint" : "-5.2671,-79.96759", "structuredLocations" : [ { "city" : "Buenos Aires", "state" : "Ciudad Autónoma de Buenos Aires", "country" : "Argentina", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-34.6095579,-58.3887904" } ], "locationText" : "Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina", "employmentType" : "PART_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Support research for teams, Assist with project development, Assist with project supervision, Assist with project coordination, Assist with project execution, Provide analysis, Provide reports, Provide internal communication services, Develop industry knowledge, Develop organizational processes", "qualificationsBasic" : "0 years of experience required", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. # **A Day in the Life** Responsabilidades pueden incluir los siguientes y pueden ser asignados a otras tareas. Esta es una posición temporal. Responsable de realizar y apoyar la investigación para equipos que operan dentro de un grupo, grupo de productos o grupo de proyectos. Ayuda con el desarrollo, supervisión, coordinación y ejecución de proyectos técnicos asignados. Provee análisis, reportes e interna servicios de comunicación con los miembros del equipo. Desarrolla el conocimiento de la industria y procesos organizacionales. **PROGRESIÓN LABORAL DE SOPORTE ADMINISTRATIVO DE MEDTRONIC: **Colaboradores individuales que brindan apoyo o servicio relacionado con la organización (administrativo o de oficina) a otros miembros de la organización. . Dedican la mayor parte del tiempo a brindar servicios o realizar actividades de apoyo, típicamente bajo supervisión. **FACTORES DIFERENCIADORES** **Autonomía: **Puesto de nivel inicial que típicamente requiere poco o nada de experiencia previa. Trabaja en tareas administrativas y de oficina bien definidas. El trabajo es rutinario o sigue procedimientos estándar bajo estrecha supervisión. **Impacto en la organización: **Trabaja para cumplir los objetivos cotidianos que afectan de cierto modo al logro de resultados para el área de trabajo con interrupciones o gastos limitados. Sigue estándares definidos o un conjunto de procedimientos para cumplir con sus responsabilidades de trabajo. **Innovación y complejidad: **Proporciona datos e información cuando se puedan requerir cambios menores tras la revisión. Los problemas que trata son rutinarios y las soluciones están claramente prescritas. **Comunicación e influencia: **Típicamente se comunica con contactos dentro del área laboral inmediata. Obtiene y proporciona información que requiere poca explicación o interpretación. **Liderazgo y gestión de talento: **No corresponde: el trabajo a este nivel se concentra en el desarrollo personal. **Conocimientos y experiencia esenciales: **Requiere poco o nada de conocimientos de sistemas y procedimientos. 0 años de experiencia requeridos **Physical Job Requirements** The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. # **Benefits & Compensation** **Medtronic offers a competitive Salary and flexible Benefits Package** A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. # **About Medtronic** # We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity [here](http://www.medtronic.com)", "summaryDescription" : "Intern: Non-Tech at Medtronic. Support research for teams. Assist with project development", "postedDate" : "2026-06-11T08:13:53.267", "createdAt" : "2026-06-12T08:13:53.162", "lastUpdated" : "2026-06-15T00:26:33.571", "ingestTimestamp" : "2026-06-12T08:13:53.162", "mongoId" : "6a2b975774d8ee00a0816d92", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://medtronic.wd1.myworkdayjobs.com/RedeploymentMedtronicCareers/job/Buenos-Aires-Ciudad-Autnoma-de-Buenos-Aires-Argentina/Intern--Non-Tech_R66255", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 0.8888889, "_score" : 556.83704, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a715874d8ee00a0649140", "title" : "IT Support Intern", "company" : "Binance. US", "industry" : "IT", "salary" : { "min" : 30.0, "max" : 30.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "U.S. ", "locations" : [ "U.S. " ], "timestamp" : "2026-06-13T10:13:45.648", "fingerprint" : "85b29c932805784ad3696932b53b87016b8860424c0db36964c89cf31b64b687", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/binance.us/6eed58b2-6889-45ee-8e5e-67bdd93efadf/application", "externalId" : "6eed58b2-6889-45ee-8e5e-67bdd93efadf", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Operating systems, Software applications, Identity management, MacOS, Chromebooks, Networking", "professionalSkills" : [ "Problem-solving", "Technical troubleshooting" ], "hardSkillsList" : [ "Enterprise productivity platforms", "Endpoint management" ], "softSkillsList" : [ "Communication" ], "hardSkills" : [ { "name" : "Enterprise productivity platforms", "level" : "intermediate" }, { "name" : "Endpoint management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication" } ], "coreResponsibilities" : "Troubleshoot operating systems, Troubleshoot software applications, Respond to trouble tickets, Resolve trouble tickets, Apply patches, Apply updates, Apply security configurations, Manage user accounts, Manage permissions, Configure mobile devices, Manage mobile devices", "domainKnowledge" : "Web3 technologies", "domainList" : [ "web3-technologies" ], "domainSpecificKnowledge" : [ "Web3 technologies" ], "toolProficiency" : [ "Okta", "Slack", "Google Workspace", "MDM platform", "Jira Service Management" ], "qualificationsBasic" : "Understanding of operating systems, Understanding of networking, Understanding of enterprise productivity tools, Understanding of identity management", "qualificationsPreferred" : "Working towards or recently completed a degree in Computer Science, Information Systems, or a related field, or equivalent experience, Experience with MacOS, Experience with Chromebooks, Familiarity with Okta, Familiarity with Slack, Familiarity with Google Workspace", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Binance.US: Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit www.binance.us http://www.binance.us. All roles supporting Binance.US http://Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc. About This Role: As an IT Support Intern at Binance.US http://Binance.US, you’ll be embedded within our IT Operations team, reporting to the Director of Security Operations. You’ll play a hands-on role supporting internal systems and end-user technology, contributing to operational excellence across the organization. This internship offers exposure to identity and access management, enterprise productivity platforms, endpoint management, and cross-functional collaboration with teams such as Security, Compliance, People, and Engineering. Core Responsibilities: - Troubleshoot operating systems and software applications across the organization. - Respond to and resolve trouble tickets in a timely manner. - Apply patches, updates, and security configurations to systems. - Manage user accounts and permissions, primarily through Okta - Configure and manage mobile devices using an MDM platform. Specific Tool Expertise: - Administer and maintain Okta for user lifecycle management, authentication, and authorization. - Configure and customize Slack for team communication and integrate it with other tools. - Manage resources and services within enterprise productivity suites such as Google. - Jira Service Management for ticketing. Preferred Skills/Experience: - Working towards or recently completed a degree in Computer Science, Information Systems, or a related field, or equivalent experience. - Experience with MacOS and Chromebooks. - Familiarity with Okta, Slack, and Google Workspace. - Technical Skills: Understanding of operating systems, networking, enterprise productivity tools, and identity management. - Problem-Solving: Ability to troubleshoot and resolve technical issues effectively. - Communication: Excellent communication and collaboration skills to work with both technical and non-technical teams. - Detail-Oriented: Proven ability to manage tasks meticulously and ensure accuracy. Salary: The pay for this role is USD$30.00 per hour for all US remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change. Our Mission: At Binance.US http://Binance.US, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all. Our Values: Our values shape how we work, make decisions, and support our users every day: - Act with Integrity: We do what’s right, even when no one is watching. - Be Collaborative: We work together with respect and transparency to achieve shared goals. - Customers First: We listen to, advocate for, and prioritize our users in every decision we make. - Do the Work: We take ownership, follow through, and deliver results that move the mission forward. - Embrace Change: We stay adaptable and curious, thriving in a fast moving industry. Our Benefits: We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings. - Time & Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave. - Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits. - Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires. - Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match. BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic. Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here https://www.binance.us/privacy-policy#employee-applicants-privacy-notice. By submitting your application, you are agreeing to our use and processing of your data as required. We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.", "summaryDescription" : "IT Support Intern at Binance. US. Troubleshoot operating systems. 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