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You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - Ph.D. in computer science, computer engineering, or related field - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. 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We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD in computer science, computer engineering, or related field - 4+ years of applied research experience - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language 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. 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You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD, or Master's degree and 6+ years of applied research experience - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. 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You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - Ph.D. in computer science, computer engineering, or related field - 4+ years of applied research experience - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 171,600.00 - 222,200.00 USD annually USA, MA, Boston - 142,800.00 - 193,200.00 USD annually USA, NY, New York - 172,400.00 - 223,400.00 USD annually USA, OR, Portland - 142,800.00 - 193,200.00 USD annually USA, TX, Austin - 142,800.00 - 193,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Program analysis, Theorem proving. Solve complex problems. 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Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD in computer science, computer engineering, or related field - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, Boston - 142,800.00 - 193,200.00 USD annually USA, OR, Portland - 142,800.00 - 193,200.00 USD annually USA, TX, Austin - 142,800.00 - 193,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Program analysis, Theorem proving. Solve complex problems. 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Join us if you want to be a part of this transformational endeavor. The Strata team (https://github.com/strata-org) is seeking a Principal Applied Scientist with broad interest and expertise in interactive theorem proving, programming language semantics, deductive verification and generative AI. You will combine your expertise with that of your coworkers to build new tools that solve code analysis problems previously considered beyond reach. Our application areas span all the way from Infrastructure as Code to high-performance cryptography written in assembly code, while our methods span from interactive theorem proving to automated test generation. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/ Key job responsibilities - Define roadmap and lead delivery of AR solutions across multiple customer use cases. - Identify tools and methods capable of addressing the verification needs of customers, including any novel analysis capabilities required. - Use tools spanning from fuzzers, property-based testing to model checkers, and interactive theorem provers to establish program properties. - Explore generative AI techniques to help customers formalize their requirements, find revealing tests, generate required boiler plate for testing and model checking, and find and repair program proofs. About the team You will be working with a team of formal verification specialists spanning recently hired PhDs to industry veterans. You will work collaboratively to deliver results in the form of verified code and tools to accelerate code verification for our customer teams. Basic Qualifications: - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience programming in Java, C++, Python or related language - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment - 10+ years of industry or academic work in formal verification, program analysis, constraint-solving or theorem proving experience Preferred Qualifications: - 10+ years of relevant work in industry or academia experience - Knowledge of problem solving, algorithm design and complexity analysis - Experience creating novel algorithms and advancing the state of the art - Have peer-reviewed scientific contributions in premier journals and conferences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 228,700.00 - 309,400.00 USD annually USA, MA, Boston - 198,900.00 - 269,000.00 USD annually USA, OR, Portland - 198,900.00 - 269,000.00 USD annually USA, TX, Austin - 198,900.00 - 269,000.00 USD annually", "summaryDescription" : "Principal Applied Scientist, Agentic Automated Reasoning Group at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:00:17.044", "lastUpdated" : "2026-06-16T07:23:33.194", "ingestTimestamp" : "2026-06-15T22:00:17.044", "mongoId" : "6a305649f292fd229cf26da0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449178/apply", "salaryAnnualMin" : 198900, "salaryAnnualMax" : 269000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 1322.1597, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fda4e34c40e2acd1b99877", "title" : "Applied Scientist, AWS Automated Reasoning", "company" : "Amazon Web Services, Inc.", "industry" : "Applied Science, Cloud Computing", "salary" : { "min" : 80000.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T04:05:41.004", "fingerprint" : "9190e88900c9cb40e55c12abaa6be6eac58c33af4918216228a21d0bd5abbe66", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413150/apply", "externalId" : "54fa3c6b-a9d7-4aa9-8122-61b2f80c5570", "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" : "FULL_TIME", "technicalSkills" : "SAT, SMT, O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala", "professionalSkills" : [ "Strategic problem solving", "Technical influence", "Scientific innovation" ], "hardSkillsList" : [ "Automated reasoning", "Program analysis", "Theorem proving", "Symbolic simulation" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Automated reasoning", "level" : "intermediate" }, { "name" : "Program analysis", "level" : "intermediate" }, { "name" : "Theorem proving", "level" : "intermediate" }, { "name" : "Symbolic simulation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Automated reasoning, Program analysis, Theorem proving", "majorSkillsList" : [ "Automated reasoning", "Program analysis", "Theorem proving" ], "coreResponsibilities" : "Solve complex problems, Own strategic problem solving, Lead design, Lead implementation, Lead delivery, Provide technical influence, Share deep knowledge, Develop strategic plans, Identify new solutions, Assist career development, Mentor individuals, Mentor community", "teamCollaboration" : "Cross-organizational technical influence", "domainKnowledge" : "Automated reasoning; Privacy; Sovereignty; Mechanical theorem proving; Symbolic simulation; Type systems; Program analysis", "domainList" : [ "automated-reasoning", "privacy", "sovereignty", "mechanical-theorem-proving", "symbolic-simulation", "type-systems", "program-analysis" ], "domainSpecificKnowledge" : [ "Automated reasoning", "Privacy", "Sovereignty", "Mechanical theorem proving", "Symbolic simulation", "Type systems", "Program analysis" ], "continuousLearning" : "Knowledge sharing; Training resources", "innovationCreativity" : "Scientific innovation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Long-term quantifiable impact", "qualificationsBasic" : "Ph. D. in computer science, 4+ years applied research, Experience in SAT, Experience in SMT, Experience in mechanical theorem proving, Experience in symbolic simulation, Experience in programming language type systems, Experience in program analysis", "qualificationsPreferred" : "Experience programming in O'Caml, Experience programming in Dafny, Experience programming in Haskell, Experience programming in Kotlin, Experience programming in Lean, Experience programming in Rust, Experience programming in Scala", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - Ph.D. in computer science, computer engineering, or related field - 4+ years of applied research experience - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TX, Austin - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Program analysis, Theorem proving. Solve complex problems. 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Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - Ph.D. in computer science, computer engineering, or related field - 4+ years of applied research experience - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 171,600.00 - 222,200.00 USD annually USA, MA, Boston - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Program analysis, Theorem proving. Solve complex problems. 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You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - Ph.D. in computer science, computer engineering, or related field - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. 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Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - Ph.D. in computer science, computer engineering, or related field - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 171,600.00 - 222,200.00 USD annually USA, MA, Boston - 142,800.00 - 193,200.00 USD annually USA, NY, New York - 172,400.00 - 223,400.00 USD annually USA, OR, Portland - 142,800.00 - 193,200.00 USD annually USA, TX, Austin - 142,800.00 - 193,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Theorem proving, Program analysis. Solve complex problems. Own strategic problem solving", "postedDate" : "2026-06-13T10:16:53.374", "createdAt" : "2026-06-13T10:16:53.374", "lastUpdated" : "2026-06-15T04:40:48.495", "ingestTimestamp" : "2026-06-13T10:16:53.374", "mongoId" : "6a2176d474d8ee00a0c1afe8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438373/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Theorem proving", "Symbolic simulation", "Program analysis", "Type systems", "Mentoring", "Automated reasoning", "Privacy", "Sovereignty", "Scientific innovation", "Technical influence", "Business problems", "Mechanical theorem proving", "Cloud computing" ], "skillCount" : 13, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 1303.8306, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "69fda4e34c40e2acd1b9986a", "title" : "Applied Scientist, AWS Automated Reasoning", "company" : "Amazon Web Services, Inc.", "industry" : "Applied Science, Cloud Computing", "salary" : { "min" : 167100.0, "max" : 226100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T03:59:22.508", "fingerprint" : "b2a55af25fef57cf31d555e3bd48bdcfb575a45440d58d2819cfd1f6380db46c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413162/apply", "externalId" : "bf312800-b3c5-49ae-823e-bab981a52bf4", "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" : "FULL_TIME", "technicalSkills" : "SAT, SMT, O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala", "professionalSkills" : [ "Strategic problem solving", "Technical influence", "Strategic plans" ], "hardSkillsList" : [ "Applied research", "Theorem proving", "Symbolic simulation", "Program analysis" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Applied research", "level" : "intermediate" }, { "name" : "Theorem proving", "level" : "intermediate" }, { "name" : "Symbolic simulation", "level" : "intermediate" }, { "name" : "Program analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Automated reasoning, Theorem proving, Program analysis", "majorSkillsList" : [ "Automated reasoning", "Theorem proving", "Program analysis" ], "coreResponsibilities" : "Solve complex problems, Own strategic problem solving, Lead design, Lead implementation, Lead delivery, Provide cross-organizational technical influence, Develop strategic plans, Assist in career development, Mentor individuals, Mentor community", "teamCollaboration" : "Cross-organizational technical influence", "domainKnowledge" : "Automated reasoning; Privacy; Sovereignty", "domainList" : [ "automated-reasoning", "privacy", "sovereignty" ], "domainSpecificKnowledge" : [ "Automated reasoning", "Privacy", "Sovereignty" ], "continuousLearning" : "Knowledge sharing; Training", "innovationCreativity" : "Scientific innovation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "PhD or Master's degree, 6+ years applied research experience, Experience in SAT, Experience in SMT, Experience in mechanical theorem proving, Experience in symbolic simulation, Experience in programming language type systems, Experience in program analysis", "qualificationsPreferred" : "Experience programming in O'Caml, Experience programming in Dafny, Experience programming in Haskell, Experience programming in Kotlin, Experience programming in Lean, Experience programming in Rust, Experience programming in Scala", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD, or Master's degree and 6+ years of applied research experience - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 192,200.00 - 260,000.00 USD annually USA, MA, Boston - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Theorem proving, Program analysis. Solve complex problems. Own strategic problem solving", "postedDate" : "2026-06-13T09:53:52.059", "createdAt" : "2026-06-13T09:53:52.059", "lastUpdated" : "2026-06-15T03:59:22.508", "ingestTimestamp" : "2026-06-13T09:53:52.059", "mongoId" : "69fda4e34c40e2acd1b9986a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413162/apply", "salaryAnnualMin" : 167100, "salaryAnnualMax" : 226100, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Applied research", "Theorem proving", "Symbolic simulation", "Program analysis", "Mentoring", "Automated reasoning", "Strategic problem solving", "Technical influence", "Strategic plans", "Privacy", "Sovereignty" ], "skillCount" : 11, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 1301.338, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a660674d8ee00a062b8fd", "title" : "Applied Scientist, AWS Automated Reasoning", "company" : "Amazon Development Centre (London) Limited", "industry" : "Applied Science, Cloud Computing", "salary" : { "min" : 200000.0, "max" : 350000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Technology Executive in London, UK, adjusted for company size and industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T02:56:58.999", "fingerprint" : "4031443f48323582f2459938ff2211f568ee883d86e9c748ded9ac8575b09462", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443582/apply", "externalId" : "5d03a9b6-87c8-4ca7-a09e-d220302f9df2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "AI, Generative AI, Model checking, Theorem proving, Programming language semantics, Python, Java, C++", "professionalSkills" : [ "Software verification", "Code analysis", "Formal methods", "Automated reasoning", "Provable security", "Agentic systems" ], "hardSkillsList" : [ "Property-based testing", "Automated test generation" ], "hardSkills" : [ { "name" : "Property-based testing", "level" : "intermediate" }, { "name" : "Automated test generation", "level" : "intermediate" } ], "majorSkills" : "Automated reasoning, AI, Software verification", "majorSkillsList" : [ "Automated reasoning", "AI", "Software verification" ], "coreResponsibilities" : "Understand customer software properties, Identify tools and methods, Use property-based testing, Use model checkers, Use interactive theorem provers, Explore generative AI techniques, Formalize customer requirements, Find revealing tests, Generate boilerplate for testing, Generate boilerplate for model checking, Find program proofs, Repair program proofs", "teamCollaboration" : "Customer teams; Coworkers", "domainKnowledge" : "Infrastructure as Code; High-performance cryptography; Assembly code; AWS services; AI agents", "domainList" : [ "infrastructure-as-code", "high-performance-cryptography", "assembly-code", "aws-services", "ai-agents" ], "domainSpecificKnowledge" : [ "Infrastructure as Code", "High-performance cryptography", "Assembly code", "AWS services", "AI agents" ], "innovationCreativity" : "Building new tools; Pioneering use of formal verification", "problemSolvingSkills" : "Solve code analysis problems", "outcomesObjectives" : "Ensure security, reliability, correctness; Build safe and secure systems; Ensure AI agents operate within safety boundaries", "qualificationsBasic" : "PhD or Master's degree, Experience in patents or publications, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, Experience building machine learning models", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Agentic Automated Reasoning Group is building the next generation of software verification tools combining advances in artificial intelligence, the computational capacity of the cloud, and our deep expertise in the domain. Join us if you want to be a part of this transformational endeavor. The Strata team (https://github.com/strata-org) is seeking an applied scientist with broad interest and expertise in model checking, interactive theorem proving, programming language semantics, and generative AI. You will combine your expertise with that of your coworkers to build new tools that solve code analysis problems previously considered beyond reach. Our application areas span all the way from Infrastructure as Code to high-performance cryptography written in assembly code, while our methods span from interactive theorem proving to automated test generation. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/ Key job responsibilities Work with customer teams to understand the nature of their software and the properties they need to establish of it. Identify tools and methods capable of addressing the verification needs of customers, including any novel analysis capabilities required. Use techniques spanning property-based testing to model checkers, and interactive theorem provers to establish program properties. Explore generative AI techniques to help customers formalize their requirements, find revealing tests, generate required boiler plate for testing and model checking, and find and repair program proofs. About the team The Agentic Automated Reasoning Group at AWS develops and applies state of the art formal methods and automated reasoning techniques to ensure the security, reliability, and correctness of AWS services and customer applications, with a strong focus on AI based agents. Our work innovates tools and services to perform verification at scale and apply them to build safe and secure systems at AWS. We are also pioneering the use of formal verification and automated reasoning to develop agentic systems, ensuring AI agents operate within defined safety boundaries. Basic Qualifications: - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development 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. 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" : "Applied Scientist, AWS Automated Reasoning at Amazon Development Centre (London) Limited. Skills: Automated reasoning, AI, Software verification. Understand customer software properties. Identify tools and methods", "postedDate" : "2026-06-13T08:10:22.228", "createdAt" : "2026-06-13T08:10:22.228", "lastUpdated" : "2026-06-15T02:56:58.999", "ingestTimestamp" : "2026-06-13T08:10:22.228", "mongoId" : "6a2a660674d8ee00a062b8fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443582/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Property-based testing", "Automated test generation", "Automated reasoning", "AI", "Software verification", "Code analysis", "Formal methods", "Provable security", "Agentic systems", "Infrastructure as Code", "High-performance cryptography", "Assembly code", "AWS services", "AI agents" ], "skillCount" : 14, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 1288.695, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69fda4e34c40e2acd1b9987b", "title" : "Applied Scientist, AWS Automated Reasoning", "company" : "Amazon Web Services, Inc.", "industry" : "Applied Science, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 226000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:46:59.439", "fingerprint" : "f40047ac343e36183c64c9b2de360818556f460f700341dbfdf575d8a77c37f5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413146/apply", "externalId" : "34ea7558-50dc-4959-ae90-5083d7f91465", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SAT, SMT, O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala", "professionalSkills" : [ "Strategic problem solving", "Technical influence", "Scientific innovation" ], "hardSkillsList" : [ "Automated reasoning", "Program analysis", "Theorem proving" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Automated reasoning", "level" : "intermediate" }, { "name" : "Program analysis", "level" : "intermediate" }, { "name" : "Theorem proving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Automated reasoning, Program analysis, Theorem proving", "majorSkillsList" : [ "Automated reasoning", "Program analysis", "Theorem proving" ], "coreResponsibilities" : "Solve complex problems, Own strategic problem solving, Design solutions, Implement solutions, Deliver solutions, Provide cross-organizational technical influence, Share deep knowledge, Develop strategic plans, Identify new solutions, Assist in career development, Mentor individuals, Mentor community", "teamCollaboration" : "Cross-organizational technical influence", "domainKnowledge" : "Automated reasoning; Privacy; Sovereignty; Mechanical theorem proving; Symbolic simulation; Program analysis; Type systems", "domainList" : [ "automated-reasoning", "privacy", "sovereignty", "mechanical-theorem-proving", "symbolic-simulation", "program-analysis", "type-systems" ], "domainSpecificKnowledge" : [ "Automated reasoning", "Privacy", "Sovereignty", "Mechanical theorem proving", "Symbolic simulation", "Program analysis", "Type systems" ], "continuousLearning" : "Knowledge sharing; Training", "innovationCreativity" : "Scientific innovation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Long-term quantifiable impact", "qualificationsBasic" : "PhD or Master's degree, 6+ years applied research experience, Experience in SAT, Experience in SMT, Experience in mechanical theorem proving, Experience in symbolic simulation, Experience in programming language type systems, Experience in program analysis", "qualificationsPreferred" : "Experience programming in O'Caml, Experience programming in Dafny, Experience programming in Haskell, Experience programming in Kotlin, Experience programming in Lean, Experience programming in Rust, Experience programming in Scala", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD, or Master's degree and 6+ years of applied research experience - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Program analysis, Theorem proving. Solve complex problems. 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Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD, or Master's degree - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 192,200.00 - 260,000.00 USD annually USA, MA, Boston - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Theorem proving, Program analysis. Solve complex problems. 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You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - Ph.D. in computer science, computer engineering, or related field - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 171,600.00 - 222,200.00 USD annually USA, MA, Boston - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Theorem proving, Program analysis. Solve complex problems. 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Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD, or Master's degree - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. 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Key job responsibilities - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. Basic Qualifications: - PhD in Computer Science, Mathematics, or a related technical field. - Experience in professional software development. - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language. Preferred Qualifications: - Deep understanding of the science underlying security, privacy, and sovereignty. - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives. - 6+ years experience leading scientists, science teams, or science products in either academic or industrial setting. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, BOSTON - 198,900.00 - 269,000.00 USD annually USA, MA, Boston - 198,900.00 - 269,000.00 USD annually USA, NY, New York City - 218,800.00 - 295,900.00 USD annually USA, NY, New york city - 218,800.00 - 295,900.00 USD annually USA, OR, PORTLAND - 198,900.00 - 269,000.00 USD annually USA, OR, Portland - 198,900.00 - 269,000.00 USD annually USA, TX, AUSTIN - 198,900.00 - 269,000.00 USD annually USA, TX, Austin - 198,900.00 - 269,000.00 USD annually USA, WA, SEATTLE - 198,900.00 - 269,000.00 USD annually USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually", "summaryDescription" : "Principal Applied Scientist, Automated Reasoning Group at Amazon Development Center U.S., Inc.. Skills: Automated reasoning, Privacy, Sovereignty. Solve complex problems. 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Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD, or Master's degree - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. 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Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD, or Master's degree - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 192,200.00 - 260,000.00 USD annually USA, MA, Boston - 167,100.00 - 226,100.00 USD annually USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, OR, Portland - 167,100.00 - 226,100.00 USD annually USA, TX, Austin - 167,100.00 - 226,100.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Sr. Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Program analysis, Theorem proving. Solve complex problems. 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Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD, or Master's degree - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. 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You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD, or Master's degree and 6+ years of applied research experience - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 192,200.00 - 260,000.00 USD annually USA, MA, Boston - 167,100.00 - 226,100.00 USD annually USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, OR, Portland - 167,100.00 - 226,100.00 USD annually USA, TX, Austin - 167,100.00 - 226,100.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Sr. Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Program analysis, Theorem proving. Solve complex problems. 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Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD, or Master's degree and 6+ years of applied research experience - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. Preferred Qualifications: - Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, Boston - 167,100.00 - 226,100.00 USD annually USA, OR, Portland - 167,100.00 - 226,100.00 USD annually USA, TX, Austin - 167,100.00 - 226,100.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Sr. Applied Scientist, AWS Automated Reasoning at Amazon Web Services, Inc.. Skills: Automated reasoning, Privacy, Sovereignty. Solve complex problems. Own strategic problem solving", "postedDate" : "2026-06-13T05:30:47.203", "createdAt" : "2026-06-13T05:30:47.203", "lastUpdated" : "2026-06-14T23:37:30.115", "ingestTimestamp" : "2026-06-13T05:30:47.203", "mongoId" : "69fda4e34c40e2acd1b9988a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413131/apply", "salaryAnnualMin" : 167100, "salaryAnnualMax" : 226100, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Mechanical theorem proving", "Symbolic simulation", "Program analysis", "Type systems", "Mentoring", "Automated reasoning", "Privacy", "Sovereignty", "Strategic problem solving", "Technical influence", "Business problems" ], "skillCount" : 11, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 1201.9138, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305382f292fd229cf132de", "title" : "Materials Science Division Undergraduate Intern - Fall 2026", "company" : "LLNL", "industry" : "Research", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the United States, adjusted for the high cost of living in the Livermore, CA area and the specific industry." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T07:45:43.293", "fingerprint" : "bcc0f8d04806e9b5078b47561a7b3a61fab7e21e1556aab0147e257e5d402fd3", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013626030-materials-science-division-undergraduate-intern-fall-2026", "externalId" : "3743990013626030", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "remoteFriendly" : false, "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have multiple openings for undergraduate students to engage in practical research experience to further their educational goals. Opportunities include conducting research in the following scientific fields: organic/inorganic synthesis, analytical, computational, materials characterization, actinide materials, optical materials science; electrochemistry; materials chemistry and physics; computational chemistry and materials science; nanoscale materials synthesis and characterization and metallurgy. These positions are in the Materials Science Division and part of the Materials and Chemistry Institute. You will * Work with scientists on projects involving hands-on work in a laboratory, computation, or data analysis. * Participate in research under close supervision in assigned area. * Gather and analyze the data or information in support of scientific research. * Presenting work through presentations. * Perform other duties as assigned. ## Qualifications * Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details. * Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in chemistry, materials sciences, computational chemistry, or related field. * Ability to apply basic engineering, scientific, or physics principles to solve technical problems. * Demonstrated effective communication skills. * Ability to present and communicate concepts and ideas. * Experience working with personal computers and familiarity with Word, Excel and PowerPoint. * Ability to work in a team environment. Qualifications We Desire * Knowledge of chemistry and materials. * GPA of 3.0 or above. ## Additional Information All your information will be kept confidential according to EEO guidelines. Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Holiday Pay * Sick leave accrual * Individual 401(k) contributions * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. National Defense Authorization Act (NDAA) The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "Materials Science Division Undergraduate Intern - Fall 2026 at LLNL", "postedDate" : "2026-06-15T18:27:29.000", "createdAt" : "2026-06-15T21:56:41.142", "lastUpdated" : "2026-06-16T07:45:43.293", "ingestTimestamp" : "2026-06-15T21:56:41.142", "mongoId" : "6a305382f292fd229cf132de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 24000, "salaryAnnualMax" : 36000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 1159.749, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305342f292fd229cf11fc7", "title" : "Materials Science Division Undergraduate Intern - Fall 2026", "company" : "LLNL", "industry" : "Research", "salary" : { "min" : 20000.0, "max" : 30000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the United States, adjusted for the specific location and industry." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T06:40:29.816", "fingerprint" : "8c8c3c32f76c7769a213ebb994db47c21d17104a0f995b8cec686f7011326efd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013626030-materials-science-division-undergraduate-intern-fall-2026", "externalId" : "3743990013626030", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "remoteFriendly" : false, "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have multiple openings for undergraduate students to engage in practical research experience to further their educational goals. Opportunities include conducting research in the following scientific fields: organic/inorganic synthesis, analytical, computational, materials characterization, actinide materials, optical materials science; electrochemistry; materials chemistry and physics; computational chemistry and materials science; nanoscale materials synthesis and characterization and metallurgy. These positions are in the Materials Science Division and part of the Materials and Chemistry Institute. You will * Work with scientists on projects involving hands-on work in a laboratory, computation, or data analysis. * Participate in research under close supervision in assigned area. * Gather and analyze the data or information in support of scientific research. * Presenting work through presentations. * Perform other duties as assigned. ## Qualifications * Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details. * Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in chemistry, materials sciences, computational chemistry, or related field. * Ability to apply basic engineering, scientific, or physics principles to solve technical problems. * Demonstrated effective communication skills. * Ability to present and communicate concepts and ideas. * Experience working with personal computers and familiarity with Word, Excel and PowerPoint. * Ability to work in a team environment. Qualifications We Desire * Knowledge of chemistry and materials. * GPA of 3.0 or above. ## Additional Information All your information will be kept confidential according to EEO guidelines. Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Holiday Pay * Sick leave accrual * Individual 401(k) contributions * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. National Defense Authorization Act (NDAA) The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "Materials Science Division Undergraduate Intern - Fall 2026 at LLNL", "postedDate" : "2026-06-15T18:27:29.000", "createdAt" : "2026-06-15T21:56:29.848", "lastUpdated" : "2026-06-16T06:40:29.816", "ingestTimestamp" : "2026-06-15T21:56:29.848", "mongoId" : "6a305342f292fd229cf11fc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 20000, "salaryAnnualMax" : 30000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 1159.749, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c61ae74d8ee00a08f5174", "title" : "Engine Test Internship - Fall 2026", "salary" : { "min" : 36000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the manufacturing industry in Suffield, CT, adjusted for seniority and location." }, "location" : "Suffield, CT", "locations" : [ "Suffield, CT" ], "timestamp" : "2026-06-15T09:54:44.288", "fingerprint" : "c87ad2e323c642e9a871bce416e014691c4a0785ed884e9a7b3b611aa861b753", "source" : "jazzhr", "language" : "en", "externalId" : "V1DZ0QoyLb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Suffield", "state" : "Connecticut", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.9816944,-72.6506604" } ], "locationText" : "Suffield, Connecticut, United States", "employmentType" : "INTERNSHIP", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Engine Test Internship - Fall 2026", "createdAt" : "2026-06-14T07:39:59.753", "lastUpdated" : "2026-06-15T09:54:44.288", "ingestTimestamp" : "2026-06-14T07:39:59.753", "mongoId" : "6a2c61ae74d8ee00a08f5174", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "_score" : 1122.132, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.9 }, { "id" : "68b706967fc9a711f0f6f24b", "title" : "2026 Applied Science Internship - United States, PhD Student Science Recruiting", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, studentprograms", "salary" : { "min" : 65.0, "max" : 107.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, USA", "locations" : [ "San Francisco, California, USA" ], "timestamp" : "2026-06-15T04:42:18.568", "fingerprint" : "d6bc086eca49f69b7e8a006630ca07fe3f2b33d87f23b2af23f6f6e7d5d8e6ce", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051686/apply", "externalId" : "0d8d349d-208c-4b5f-8225-1e62552be8e7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Machine learning, Deep learning, Robotics, Multimodal LLMs, World models, Image tokenization, Video tokenization, Real2Sim transfer, Sim2real transfer, Bimanual manipulation, Open-vocabulary scene understanding, Vision-language-action models, Python, PyTorch, JAX, Generative AI", "professionalSkills" : [ "Applied science", "Robotics research", "Algorithm development", "Modeling techniques", "Robotic perception", "Robotic manipulation", "Robotic control" ], "hardSkillsList" : [ "Reinforcement learning", "Computer vision", "Motion planning", "Statistical analysis" ], "softSkillsList" : [ "Critical thinking", "Effective communication" ], "hardSkills" : [ { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Computer vision", "level" : "intermediate" }, { "name" : "Motion planning", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Effective communication" } ], "majorSkills" : "AI, Robotics, LLMs, Deep learning", "majorSkillsList" : [ "AI", "Robotics", "LLMs", "Deep learning" ], "coreResponsibilities" : "Develop novel algorithms, Develop scalable algorithms, Develop modeling techniques, Advance state-of-the-art in LLMs for robotics, Advance state-of-the-art in generative AI for robotics, Tackle groundbreaking research problems, Focus on robotic perception, Focus on robotic manipulation, Focus on robotic control, Collaborate with cross-functional teams, Solve complex business problems, Leverage expertise in deep learning, Leverage expertise in reinforcement learning, Leverage expertise in computer vision, Leverage expertise in motion planning", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Large language models; Generative AI; Intelligent robotics; Applied robotics; Computer vision; Reinforcement learning; Motion planning; Multimodal LLMs; World models; Image tokenization; Video tokenization; Real2Sim transfer; Sim2real transfer; Bimanual manipulation; Scene understanding; Vision-language-action models", "domainList" : [ "large-language-models", "generative-ai", "intelligent-robotics", "applied-robotics", "computer-vision", "reinforcement-learning", "motion-planning", "multimodal-llms", "world-models", "image-tokenization", "video-tokenization", "real2sim-transfer", "sim2real-transfer", "bimanual-manipulation", "scene-understanding", "vision-language-action-models" ], "domainSpecificKnowledge" : [ "Large language models", "Generative AI", "Intelligent robotics", "Applied robotics", "Computer vision", "Reinforcement learning", "Motion planning", "Multimodal LLMs", "World models", "Image tokenization", "Video tokenization", "Real2Sim transfer", "Sim2real transfer", "Bimanual manipulation", "Scene understanding", "Vision-language-action models" ], "toolProficiency" : [ "Python", "PyTorch", "JAX" ], "communicationSkills" : "Communicate effectively", "continuousLearning" : "Mentorship", "innovationCreativity" : "Groundbreaking discoveries; Bold ideas; Innovation", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Full-time 40h/week, 12 week internship, May 2026 to September 2026", "outcomesObjectives" : "Deliver impactful solutions", "qualificationsBasic" : "Enrolled in a PhD, 18 years of age or older, Work 40 hours/week minimum, Commit to 12 week internship, Can relocate to where internship is based, Experience programming in Java, C++, Python or related language", "qualificationsPreferred" : "Publications at top-tier peer-reviewed conferences or journals, Experience in designing experiments, Statistical analysis of results", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a brilliant mind seeking to push the boundaries of what's possible with intelligent robotics? Join our elite team of researchers and engineers - led by Pieter Abeel, Rocky Duan, and Peter Chen - at the forefront of applied science, where we're harnessing the latest advancements in large language models (LLMs) and generative AI to reshape the world of robotics and unlock new realms of innovation. As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge robotics technologies. You'll dive deep into exciting research projects at the intersection of AI and robotics. This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning to tackle real-world problems and deliver impactful solutions. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied robotics and AI, where your contributions will shape the future of intelligent systems and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Must be eligible and available for a full-time (40h/ week) 12 week internship between May 2026 and September 2026. Amazon has positions available in San Francisco, CA and Seattle, WA. The ideal candidate should possess: - Strong background in machine learning, deep learning, and/or robotics - Publication record at science conferences such as NeurIPS, CVPR, ICRA, RSS, CoRL, and ICLR. - Experience in areas such as multimodal LLMs, world models, image/video tokenization, real2Sim/Sim2real transfer, bimanual manipulation, open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, and end-to-end vision-language-action models. - Proficiency in Python, Experience with PyTorch or JAX - Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team Apply now and embark on an extraordinary journey of discovery and innovation! Key job responsibilities - Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics - Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control - Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning - Demonstrate the ability to work independently, thrive in a fast-paced, ever-changing environment, and communicate effectively with diverse stakeholders Basic Qualifications: - Are enrolled in a PhD - Are 18 years of age or older - Work 40 hours/week minimum and commit to 12 week internship maximum - Can relocate to where the internship is based - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Have publications at top-tier peer-reviewed conferences or journals - Experience in designing experiments and statistical analysis of results Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "2026 Applied Science Internship - United States, PhD Student Science Recruiting at Amazon.com Services LLC. Skills: AI, Robotics, LLMs, Deep learning. Develop novel algorithms. 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communication" } ], "majorSkills" : "Reinforcement Learning, Optimization, Machine Learning, Deep Learning", "majorSkillsList" : [ "Reinforcement Learning", "Optimization", "Machine Learning", "Deep Learning" ], "coreResponsibilities" : "Conduct research into theory and application of deep, Propose and deploy solutions, Develop and implement novel, scalable algorithms, Develop and implement modeling techniques, Tackle challenging, groundbreaking research problems, Develop novel RL algorithms, Apply RL algorithms to complex, real-world challenges, Develop scalable, efficient, automated processes for data analyses, Develop scalable, efficient, automated processes for model development, Develop scalable, efficient, automated processes for model validation, Develop scalable, efficient, automated processes for model implementation, Design, development and evaluation of highly innovative ML, Research and apply the latest ML techniques, Research and apply the latest ML best practices, Think about customers, Improve the customer delivery experience, Use analytical techniques to create scalable solutions", "teamCollaboration" : "Work with product managers; Work with scientists; Work with software engineers; Work alongside global experts; Work collaboratively with diverse groups; Work with cross-functional teams", "domainKnowledge" : "Reinforcement Learning; Optimization; Machine Learning; Bayesian optimization; Time series; Multi-armed bandits; Supervised learning; Semi-supervised learning; Unsupervised learning; Advanced statistical modeling; Graph models; Deep learning; Predictive modeling; Large Language Models", "domainList" : [ "reinforcement-learning", "optimization", "machine-learning", "bayesian-optimization", "time-series", "multi-armed-bandits", "supervised-learning", "semi-supervised-learning", "unsupervised-learning", "advanced-statistical-modeling", "graph-models", "deep-learning", "predictive-modeling", "large-language-models" ], "domainSpecificKnowledge" : [ "Reinforcement Learning", "Optimization", "Machine Learning", "Bayesian optimization", "Time series", "Multi-armed bandits", "Supervised learning", "Semi-supervised learning", "Unsupervised learning", "Advanced statistical modeling", "Graph models", "Deep learning", "Predictive modeling", "Large Language Models" ], "communicationSkills" : "Communicate effectively", "continuousLearning" : "Learn; Grow", "innovationCreativity" : "Boundary-pushing; Revolutionary theory; Awe-inspiring reality; Innovation; Bold ideas", "problemSolvingSkills" : "Solve complex business problems; Solve complex business problems", "outcomesObjectives" : "Advance the state-of-the-art; Shape the future of AI; Propel humanity forward; Leave an indelible mark on the world of technology", "qualificationsBasic" : "Enrolled in a PhD, 18 years of age or older, Work 40 hours/week minimum, Commit to 12 week internship maximum, Can relocate to where the internship is based, Experience programming in Java, C++, Python or related language, Experience with Optimization, Experience with Programming/Scripting Languages, Experience with Statistics, Experience with Reinforcement Learning, Experience with Causal Inference, Experience with Large Language Models, Experience with Time Series, Experience with Graph Modeling, Experience with Supervised/Unsupervised Learning, Experience with Deep Learning, Experience with Predictive Modeling", "qualificationsPreferred" : "Publications at top-tier peer-reviewed conferences or journals, Experience in state-of-the-art deep learning models architecture design, Deep learning training and optimization experience, Model pruning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Unlock the Future with Amazon Science! Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more. At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA. Key job responsibilities We are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment. A day in the life - Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. - Design, development and evaluation of highly innovative ML models for solving complex business problems. - Research and apply the latest ML techniques and best practices from both academia and industry. - Think about customers and how to improve the customer delivery experience. - Use and analytical techniques to create scalable solutions for business problems. Basic Qualifications: - Are enrolled in a PhD - Are 18 years of age or older - Work 40 hours/week minimum and commit to 12 week internship maximum - Can relocate to where the internship is based - Experience programming in Java, C++, Python or related language - Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling Preferred Qualifications: - Have publications at top-tier peer-reviewed conferences or journals - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "2026 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) at Amazon.com Services LLC. Skills: Reinforcement Learning, Optimization, Machine Learning, Deep Learning. Conduct research into theory and application of deep. 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Collaborate with reporters and editors", "domainKnowledge" : "Domestic health; Global health; General science", "domainList" : [ "domestic-health", "global-health", "general-science" ], "domainSpecificKnowledge" : [ "Domestic health", "Global health", "General science" ], "communicationSkills" : "Pitching ideas; Writing copy; Writing questions; Writing highlights; Writing stories", "continuousLearning" : "Professional development opportunities", "qualificationsBasic" : "Current student or recent graduate, Journalism/news reporting or editing experience, Excellent research skills, Ability to find expert voice, Ability to own task to completion", "qualificationsPreferred" : "Audio production experience", "workSiteFlexibility" : "Hybrid", "rawDescription" : "OVERVIEW A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide. Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR. This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR. Internship Program Duration: October 5th, 2026 - April 16th, 2027 Application Instructions: Applications close on Sunday, June 21st at 11:59 pm ET. Intro to Position This internship will be divided into two phases: first at Weekend Edition, NPR’s weekend morning newsmagazine, and then at the Science Desk. From October through January, the intern will be at Weekend Edition, where they will learn how to pitch and produce news stories for a weekend audience, dive into feature interview production, and take the lead in producing the signature Sunday Puzzle segment with Will Shortz. The intern will work directly with hosts Scott Simon and Ayesha Rascoe, alongside our talented and collegial staff of producers and editors. From January through April, the intern will join the Science Desk, where they will report and produce digital stories for the desk’s three sections: domestic health, global health and development and general science. The intern would be expected to pitch ideas jumping off of news developments, take assignments from desk editors, and assist NPR correspondents in reporting stories. They’d be expected to assess scientific papers to determine newsworthiness. The intern would then produce those stories for NPR’s website in a timely fashion. All work performed by the intern is to be done under the close supervision of NPR producers, editors, reporters and hosts. This is an NPR editorial role covered under the terms of the NPR Ethics Handbook. All editorial staff are bound by this guidance. Editorial staff is defined as staff members who play a role in shaping the journalistic or creative direction of NPR's content, including events. Weekend Edition Responsibilities Pitch ideas for host interviews on news and feature topics Pre-interview and book guests Write host copy and interview questions Produce live and pre-recorded host interviews, including managing recordings and editing audio Write digital interview highlights and stories Science Desk Responsibilities Pitch story ideas Report and produce stories on general science, domestic health and global health Assess science papers and other research developments for newsworthiness Collaborate with NPR Science desk reporters and editors Work on a “capstone” project consisting of an originally reported feature The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time. Qualifications Journalism/news reporting or editing experience Excellent research skills and an eye for a new angle/perspective on major news stories The ability to find the right expert or first-person voice to illustrate a complicated news topic Ability to own a task from concept to completion PREFERRED: audio production experience Application Requirements Resume Cover Letter Writing Sample Education Requirements Must be a current student in an accredited degree program or a recent graduate of no more than 12 months from the month of the start of the internship. Work Location 6:00AM to 2:00 PM EST Saturday and Sunday. For the Science Desk: Monday through Friday, 9:00 AM to 5:00 PM EST. Compensation Hourly Rate The U.S.-based anticipated hourly rate for this opportunity is $20.00 per hour. The range displayed reflects the minimum and maximum hourly rate NPR expects to provide for new hires for the position across all US locations. NPR Benefits: NPR offers interns a robust package of benefits and resources designed to foster their professional development and support their overall well-being. Interns are eligible to make elective contributions to the NPR 403(b) retirement plan. As an intern, you have access to Transit Commuter benefits through HealthEquity, which allow you to set aside pre tax funds for eligible commuting expenses. You are also eligible for membership with the Signal Financial Federal Credit Union, giving you access to a range of financial services and resources. At our DC Headquarters, interns enjoy free access to on-site Wellness Center, free fitness center membership, secure bike facilities, garage parking, and onsite cafeteria. Other benefits include the Employee Assistance Program with up to six face-to-face counseling sessions per issue, Global Guardian worldwide assistance, and Business Travel Accident coverage. Additionally, interns working 30 or more hours per week receive holiday pay for 10 observed holidays plus one floating holiday per year and accrue 3.08 hours of sick leave each pay period with no waiting period. NPR also supports career growth and work-life balance through professional development opportunities, flexible work hours, and telecommuting options. Does this sound like you? If so, we want to hear from you. #LI-Hybrid The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations. NPR Pay Range $20—$20 USD NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law. If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org. You may read NPR’s privacy policy to learn about how NPR may handle information you submit with any application. Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. Find more career opportunities at NPR.org/careers.", "summaryDescription" : "Weekend Edition & Science Desk Internship - Fall 2026 at NPR. Skills: News production, Science reporting, Interviewing. Pitch ideas for host interviews. Pre-interview guests", "postedDate" : "2026-06-11T19:31:56.075", "createdAt" : "2026-06-11T19:31:56.075", "lastUpdated" : "2026-06-13T20:10:53.487", "ingestTimestamp" : "2026-06-11T19:31:56.075", "mongoId" : "6a2aa74874d8ee00a06bd176", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Research skills", "Interviewing skills", "Audio editing", "News production", "Science reporting", "Interviewing", "News reporting", "News editing", "Interview production", "Feature production", "Digital storytelling", "Domestic health", "Global health", "General science" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "weekend-edition---nwnd", "dataQualityScore" : 0.8888889, "_score" : 985.3598, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305815f292fd229cf40284", "title" : "Design Intern (Fall 2026)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 18.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Colorado-Denver", "locations" : [ "United States-Colorado-Denver" ], "timestamp" : "2026-06-16T07:16:22.314", "fingerprint" : "9da6f0e12fb5c220210881542c57c3f9a3493d8abe7106b52e49422506271630", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784854", "externalId" : "784854", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Offer real-world experience on exciting projects, Perform assignments under direct supervision, Participate in architectural design process, Develop alternative solutions, Develop presentation graphics, Follow through on design development drawings, Follow through on design development models, Collaborate with production staff for technical details, Collaborate with production staff for completion of construction, Perform other duties as needed", "domainKnowledge" : "Architectural design", "domainList" : [ "architectural-design" ], "domainSpecificKnowledge" : [ "Architectural design" ], "continuousLearning" : "Mentoring programs", "qualificationsBasic" : "2 years completed toward degree, 3.0+ GPA", "qualificationsPreferred" : "Demonstrated knowledge of software packages related to field of study/industry", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe architecture is more than designing buildings, it’s about providing solutions to societal challenges and creating stronger, more vibrant communities. As part of our Architecture practice at HDR, you’ll contribute to the design and delivery of spaces and experiences that advance community well-being around the world. From healing environments and learning spaces to research labs and civic landmarks and infrastructure, your work will directly influence how individuals experience the world around them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. In the role of Design Intern (Fall 2026) Offer real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals programs Perform assignments under the direct supervision of an Architect, Project Manager, or other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to client or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Perform other duties as needed Preferred Qualifications 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Colorado: %2418 - %2430", "summaryDescription" : "Design Intern (Fall 2026) at HDR. Offer real-world experience on exciting projects. 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Join our elite team of researchers and engineers - led by Pieter Abeel, Rocky Duan, and Peter Chen - at the forefront of applied science, where we're harnessing the latest advancements in large language models (LLMs) and generative AI to reshape the world of robotics and unlock new realms of innovation. As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge robotics technologies. You'll dive deep into exciting research projects at the intersection of AI and robotics. This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning to tackle real-world problems and deliver impactful solutions. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied robotics and AI, where your contributions will shape the future of intelligent systems and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available in San Francisco, CA. The ideal candidate should possess: - Strong background in machine learning, deep learning, and/or robotics - Publication record at science conferences such as NeurIPS, CVPR, ICRA, RSS, CoRL, and ICLR. - Experience in areas such as multimodal LLMs, world models, image/video tokenization, real2Sim/Sim2real transfer, bimanual manipulation, open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, and end-to-end vision-language-action models. - Proficiency in Python, Experience with PyTorch or JAX - Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team Apply now and embark on an extraordinary journey of discovery and innovation! Key job responsibilities - Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics - Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control - Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning - Demonstrate the ability to work independently, thrive in a fast-paced, ever-changing environment, and communicate effectively with diverse stakeholders Basic Qualifications: - Are enrolled in a Bachelor's degree or above - Are 18 years of age or older - Work 40 hours/week minimum and commit to 12 week internship maximum - Can relocate to where the internship is based - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Have publications at top-tier peer-reviewed conferences or journals - Experience in designing experiments and statistical analysis of results Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $62.21/hr in our lowest geographic market up to $102.31/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "2026 Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier AI & Robotics at Amazon.com Services LLC. Skills: AI, Robotics, Deep learning, LLMs. Develop novel algorithms. 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"Robotic perception", "Robotic manipulation", "Robotic control" ], "skillCount" : 28, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 953.432, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Robotics" }, { "id" : "6a2176dc74d8ee00a0c1b29a", "title" : "Sr Manager, Applied Science, AWS Compliance & Security Assurance", "company" : "Amazon Web Services, Inc.", "industry" : "Applied Science, amazon security", "salary" : { "min" : 240600.0, "max" : 325500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:37:34.207", "fingerprint" : "23cbc1c0fb4d16ddd60b5b6e738f750ed99b7ac9d53806877e74d9d2a7a60bce", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437754/apply", "externalId" : "182d0dbf-0194-47dd-9fd9-56ca3b7496a5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Automated reasoning, Program analysis, Static analysis, Taint analysis, Heap analysis, Dataflow graph generation, Formal verification, Lean, Coq, Dafny, Java", "professionalSkills" : [ "Technical vision", "Roadmap development", "Scalable program analysis", "Scientific rigor", "Operational excellence", "Security assurance", "Privacy assurance", "Compliance assurance" ], "hardSkillsList" : [ "Applied security", "Automated reasoning", "Program analysis", "Static program analysis", "Abstract interpretation", "Taint analysis", "Information-flow security", "Formal verification", "Security properties" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Applied security", "level" : "intermediate" }, { "name" : "Automated reasoning", "level" : "intermediate" }, { "name" : "Program analysis", "level" : "intermediate" }, { "name" : "Static program analysis", "level" : "intermediate" }, { "name" : "Abstract interpretation", "level" : "intermediate" }, { "name" : "Taint analysis", "level" : "intermediate" }, { "name" : "Information-flow security", "level" : "intermediate" }, { "name" : "Formal verification", "level" : "intermediate" }, { "name" : "Security properties", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Automated reasoning, Program analysis, Static analysis, Applied security", "majorSkillsList" : [ "Automated reasoning", "Program analysis", "Static analysis", "Applied security" ], "coreResponsibilities" : "Own technical vision and roadmap, Drive innovation in scalable program analysis, Lead team of applied scientists, Contribute technically as player/coach, Partner with security stakeholders, Partner with privacy stakeholders, Partner with compliance stakeholders, Expand reach and impact of code analysis, Partner with automated reasoning experts, Contribute to science of security, Own science roadmap for automated reasoning engine, Develop novel analysis techniques, Hire world-class team, Develop world-class team, Retain world-class team, Foster culture of scientific rigor, Foster culture of innovation, Foster culture of operational excellence, Partner with application security teams, Partner with service teams, Expand platform integration footprint, Deliver new security analysis capabilities, Deliver new privacy analysis capabilities, Advance state of art in static program analysis, Explore formal verification of analysis correctness, Expand language support beyond Java, Develop novel analysis techniques for emerging security properties, Collaborate with AWS AppSec teams, Collaborate with Privacy Engineering teams, Collaborate with service teams, Understand security assurance needs, Translate needs into analysis capabilities, Represent team in Automated Reasoning community, Contribute to automated reasoning initiatives, Contribute to academic partnerships", "teamCollaboration" : "Security stakeholders; Privacy stakeholders; Compliance stakeholders; Automated reasoning experts; Application security teams; Service teams; AWS AppSec teams; Privacy Engineering teams", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Automated reasoning; Program analysis; Applied security; Static program analysis; Information-flow security; Security assurance; Privacy assurance; Compliance assurance; Cloud-native architecture", "domainList" : [ "automated-reasoning", "program-analysis", "applied-security", "static-program-analysis", "information-flow-security", "security-assurance", "privacy-assurance", "compliance-assurance", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Automated reasoning", "Program analysis", "Applied security", "Static program analysis", "Information-flow security", "Security assurance", "Privacy assurance", "Compliance assurance", "Cloud-native architecture" ], "toolProficiency" : [ "Lean", "Coq", "Dafny" ], "continuousLearning" : "Training; Career Growth", "innovationCreativity" : "Innovation; Prototyping; Novel analyses", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Master's degree in Computer Science, 10+ years of experience in software development or applied research, 5+ years in technical leadership or management role, Deep expertise in static program analysis, Deep expertise in abstract interpretation, Deep expertise in taint analysis, Deep expertise in information-flow security, Deep expertise in automated reasoning, Proven track record of building and shipping production-grade analysis tools, Proven track record of building and shipping developer-facing security tooling", "qualificationsPreferred" : "PhD in Computer Science, Experience in SAT, Experience in SMT, Experience in mechanical theorem proving, Experience in symbolic simulation, Experience in programming language type systems, Experience in program analysis, Background in application security, Background in encryption verification, Background in data privacy compliance, Track record of translating academic research into production systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Team Our team builds and operates automated reasoning technology that powers security and privacy assurance across Amazon and AWS at scale. Our technology is deeply integrated into critical Amazon and AWS security workflows. We operate at the intersection of automated reasoning, program analysis, and applied security — and our work directly impacts the security posture of every AWS service. About the Role We are looking for an experienced Applied Science Manager to lead the team's static analysis platform science team. In this role, you will own the technical vision and roadmap for our automated reasoning engine's static analysis capabilities, drive innovation in scalable program analysis, and lead a team of applied scientists working at the frontier of automated reasoning for security while also contributing technically as a player/coach. You will partner closely with security, privacy, and compliance stakeholders across AWS to expand the reach and impact of provably correct code analysis. You will also partner closely with automated reasoning experts across the company and contribute to the science of security Key job responsibilities Technical Leadership: Own the science roadmap for our automated reasoning engine, including taint analysis, compositional heap analysis, modular method summarization, and dataflow graph generation Hands-on Contribution: Personally contribute to key research and design decisions, including prototyping novel analyses and reviewing technical artifacts Team Building & Management: Hire, develop, and retain a world-class team of applied scientists; foster a culture of scientific rigor, innovation, and operational excellence Product Integration: Partner with application security and service teams to expand our platform's integration footprint and deliver new security and privacy analysis capabilities Research & Innovation: Advance the state of the art in static program analysis, including exploring formal verification of analysis correctness (e.g., using Lean, Coq, or Dafny), expanding language support beyond Java, and developing novel analysis techniques for emerging security properties Stakeholder Engagement: Collaborate with AWS AppSec, Privacy Engineering, and service teams to understand their security assurance needs and translate them into analysis capabilities Strategic Influence: Represent our team in the broader Automated Reasoning community at Amazon; contribute to automated reasoning initiatives, and academic partnerships About the team Our team builds and operates automated reasoning technology that powers security and privacy assurance across Amazon and AWS at scale. Our automated reasoning engine is the core technology behind our managed dataflow mapping service, which automatically tracks how data flows through AWS service teams’ code and infrastructure. Our technology is deeply integrated into critical Amazon and AWS security workflows. We operate at the intersection of automated reasoning, program analysis, and applied security — and our work directly impacts the security posture of every AWS service. Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent) - 10+ years of experience in software development or applied research, with at least 5 years in a technical leadership or management role - Deep expertise in one or more of: static program analysis, abstract interpretation, taint analysis, information-flow security, or automated reasoning - Proven track record of building and shipping production-grade analysis tools or developer-facing security tooling Preferred Qualifications: - PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis. - Background in application security, encryption verification, or data privacy compliance - Track record of translating academic research into production systems with measurable security impact 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 240,600.00 - 325,500.00 USD annually USA, WA, Seattle - 218,800.00 - 295,900.00 USD annually", "summaryDescription" : "Sr Manager, Applied Science, AWS Compliance & Security Assurance at Amazon Web Services, Inc.. Skills: Automated reasoning, Program analysis, Static analysis, Applied security. Own technical vision and roadmap. Drive innovation in scalable program analysis", "postedDate" : "2026-06-13T03:23:44.296", "createdAt" : "2026-06-13T03:23:44.296", "lastUpdated" : "2026-06-15T02:37:34.207", "ingestTimestamp" : "2026-06-13T03:23:44.296", "mongoId" : "6a2176dc74d8ee00a0c1b29a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437754/apply", "salaryAnnualMin" : 240600, "salaryAnnualMax" : 325500, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Applied security", "Automated reasoning", "Program analysis", "Static program analysis", "Abstract interpretation", "Taint analysis", "Information-flow security", "Formal verification", "Security properties", "Leadership", "Static analysis", "Technical vision", "Roadmap development", "Scalable program analysis", "Scientific rigor", "Operational excellence", "Security assurance", "Privacy assurance", "Compliance assurance", "Cloud-native architecture", "Lean", "Coq", "Dafny" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 932.945, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cdb9174d8ee00a0a50eb3", "title" : "Aerodynamics Intern (Fall 2026)", "company" : "Zipline", "salary" : { "min" : 48000.0, "max" : 64000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for entry-level Aerodynamics Intern positions in South San Francisco, with adjustments for the technology industry and company size." }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T04:30:23.376", "fingerprint" : "994ef194bf0f50fbefc75ed586ba6e5f37e55c09fbd17e2745060311f333dfc7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7772198003#open-roles", "externalId" : "7772198003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About the Applied Aerodynamics Team Without the Aerodynamics team, the Zipline drones would not fly! This team is responsible for the aerodynamic performance of the aircraft, from high-level aeronautical considerations down to the detailed surface design. We work on everything from the body and propellers to vehicle dynamics and aeroacoustics, and in order to ensure our product is successful we collaborate strongly with almost every other engineering team, including GNC, structures, mechanical integration, avionics, perception, systems, weather and others. The Role As an intern in the Aerodynamics Team you can expect to work on any one of our current open projects alongside our world-class aerodynamicists and aeronautical engineers, both learning from their experience and bringing your own perspective to the tasks. This is an opportunity to test the skills and knowledge you’ve learned at school in a practical and fast-paced environment, where we leverage our understanding of physics to solve real problems. You will learn to use a variety of tools - from low fidelity calculations, through CFD simulation to experimental analysis - to help drive the design of our current and future products forward. What You'll Do Vehicle design analysis including aerodynamics, propulsion, and power system performance. Low- and high-fidelity analytical modeling of vehicle subsystems and behaviors Aerodynamic database generation and building analysis of flight behaviors Experiment planning, execution and data analysis, from wind tunnels to flight tests Support multidisciplinary team including controls, mechanical, production, software, and electrical engineers to tackle design challenges and resolve time-sensitive issues What You'll Bring You will be studying one or more of the following areas: fluid mechanics, aerodynamics, flight physics, aeronautical engineering, acoustics. A strong understanding of the technical content of these courses is the most valuable asset you will bring, and will help you exercise good engineering judgment. Understanding and experience with any of the following toolsets is advantageous. If you have not used the tool before, we’ll teach you to use it where needed. Continuum- or Lattice Boltzmann-based computational fluid dynamics, such as STAR-CCM+, Fluent, OpenFOAM, or PowerFLOW Wind tunnel test identification, planning, execution, troubleshooting, and data analysis using a variety of electro-mechanical and optical diagnostic techniques Flight test planning for system identification and simulation validation, cross functional planning, test execution, and data analysis MATLAB, Python, Rust, or similar software tools CAD advanced surfacing tools, such as CATIA or NX To be maximally effective we will need you to work in our head office in South San Francisco. For certain testing programs, limited travel (within California) may be required. What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Fall 2026 interns from September to December. Candidates are limited to three (3) applications within a 30-day period. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. Zipline is also committed to providing reasonable accommodations to individuals with disabilities. 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- PAID", "createdAt" : "2026-06-14T01:25:52.527", "lastUpdated" : "2026-06-15T12:41:13.749", "ingestTimestamp" : "2026-06-14T01:25:52.527", "mongoId" : "6a2c63ff74d8ee00a08fa12c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41000, "salaryAnnualMax" : 55000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "_score" : 910.8653, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "69e104402beec4dd3def2533", "title" : "Software Development Engineer Internship - Fall 2026 (Canada)", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, studentprograms", "salary" : { "min" : 89700.0, "max" : 149800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T01:38:41.226", "fingerprint" : "5b37f9fb583aa595a6a401c54dbe5b456a951f0a8779a38a753d93780ad3f8ab", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387163/apply", "externalId" : "7db59e3e-7006-4cee-9cfb-35c9d69b873e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Java, Python, C++, C#, Go, Rust, TypeScript, Data structures, Algorithms, Object-oriented design, Cloud-native architectures, Microservices, GenAI, AI", "professionalSkills" : [ "Technical discussions", "Operational excellence", "Design patterns" ], "hardSkillsList" : [ "Data structure implementation", "Algorithm development", "Object-oriented design" ], "hardSkills" : [ { "name" : "Data structure implementation", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Object-oriented design", "level" : "intermediate" } ], "majorSkills" : "Software development, Scalable services, Cloud computing", "majorSkillsList" : [ "Software development", "Scalable services", "Cloud computing" ], "coreResponsibilities" : "Collaborate with Amazonians to design products, Collaborate with Amazonians to build products, Collaborate with Amazonians to operate products, Participate in technical discussions, Design scalable solutions, Develop scalable solutions, Use cloud-native architectures, Use microservices, Participate in code reviews, Contribute to technical documentation, Build resilient distributed systems, Maintain resilient distributed systems, Leverage GenAI tools, Contribute to GenAI tools, Use AI-powered tools, Write clean code, Write maintainable code, Follow best practices, Follow design patterns, Work in agile environment, Practice CI/CD principles, Participate in operational responsibilities, Demonstrate operational excellence, Monitor production issues, Troubleshoot production issues, Resolve production issues", "teamCollaboration" : "Cross-disciplinary teams; Collaborative team environment", "projectManagementSkills" : [ "Agile environment", "CI/CD principles" ], "domainKnowledge" : "Distributed systems; Data management; Database systems; Quantum computing; Network development; Query processing; Optimization; Automated reasoning; Embedded systems; Data engineering; Mobile development; Game development; Cloud-native architectures; Microservices; Distributed computing environment; GenAI; AI", "domainList" : [ "distributed-systems", "data-management", "database-systems", "quantum-computing", "network-development", "query-processing", "optimization", "automated-reasoning", "embedded-systems", "data-engineering", "mobile-development", "game-development", "cloud-native-architectures", "microservices", "distributed-computing-environment", "genai", "ai" ], "domainSpecificKnowledge" : [ "Distributed systems", "Data management", "Database systems", "Quantum computing", "Network development", "Query processing", "Optimization", "Automated reasoning", "Embedded systems", "Data engineering", "Mobile development", "Game development", "Cloud-native architectures", "Microservices", "Distributed computing environment", "GenAI", "AI" ], "toolProficiency" : [ "Version control systems", "CI/CD" ], "communicationSkills" : "Technical discussions; Written communication; Verbal communication", "documentationSkills" : "Technical documentation", "continuousLearning" : "Culture of learning; Mentorship", "innovationCreativity" : "Innovative technology; Creating new products; Creating new features; Creating new services; Think big", "problemSolvingSkills" : "Solve complex problems; Problem-solving skills; Analytical skills; Troubleshooting complex systems", "qualificationsBasic" : "18 years of age or older, Experience with Java, Python, C++, C#, Go, Rust, or TypeScript, Experience with data structure implementation, Experience with basic algorithm development, Experience with object-oriented design principles, Enrolled in Bachelor's degree or above, Degree in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields, Able to work 40 hours/week, Commit to a 12-week internship, Expected conferral date between October 2026 – September 2029", "qualificationsPreferred" : "Previous technical internship experience, Demonstrated project experience, Experience with AI tools for development, Experience with productivity tools, Experience with Cloud platforms (AWS), Experience with Database systems (SQL and NoSQL), Experience contributing to open-source projects, Experience with Version control systems, Experience debugging complex systems, Experience troubleshooting complex systems, Demonstrated ability to learn new technologies quickly, Demonstrated ability to adapt to new technologies quickly, Basic understanding of software development lifecycle (SDLC), Problem-solving skills, Analytical skills, Excellent written communication skills, Excellent verbal communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "By applying to this position, your application will only be considered for our fall Software Development Engineer (SDE) internship roles. Our fall intern roles have start dates in August/September 2026 and are 12 weeks in duration. Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our SDE interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. At Amazon, we believe in ownership at every level. As a SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. We will take your location preferences into consideration. Preferences are based on business availability and are not guaranteed. Applicants will be considered at all locations we host interns in the Canada including but not limited to: Vancouver, BC; Toronto, ON; Winnipeg, MN; Victoria, BC; Ottawa, ON; Calgary, AB ***Locations are subject to change. *** During your application, you will have the opportunity to highlight your expertise in one or more of these specialized areas • Machine Learning • Distributed Systems and Data Management • Database Systems • Quantum Computing • Network Development • Query Processing and Optimization • Automated Reasoning • Embedded Systems • Data Engineering • Mobile Development • Game Development While team placement is based on business needs, sharing your specific skills and interests helps us better align your experience with potential roles. Key job responsibilities • Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward. • Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment. • Participate in code reviews and contribute to technical documentation. • Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective. • Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies. • Write clean, maintainable code following best practices and design patterns. • Work in an agile environment practicing CI/CD principles while participating in operational responsibilities. • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues. A day in the life As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting. Basic Qualifications: - Are 18 years of age or older - Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript - Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles - Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields - Able to work 40 hours/week and commit to a 12-week internship - Expected conferral date between October 2026 – September 2029 Preferred Qualifications: - Experience from previous technical internship(s) or demonstrated project experience - Experience with one or more of the following: AI tools for development, productivity, Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems - Debugging and troubleshooting complex systems - Demonstrated ability to learn and adapt to new technologies quickly - Basic understanding of software development lifecycle (SDLC) - Strong problem-solving and analytical skills - Excellent written and verbal communication skills 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. The starting pay for this position is listed below. Amazon is a total compensation company, additional earnings may include shift differentials, overtime pay, and performance bonuses where applicable. Final pay rate will be based on factors including shift selection, location, and experience. In addition, Amazon offers basic life & AD&D insurance, paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe architecture is more than designing buildings, it’s about providing solutions to societal challenges and creating stronger, more vibrant communities. As part of our Architecture practice at HDR, you’ll contribute to the design and delivery of spaces and experiences that advance community well-being around the world. From healing environments and learning spaces to research labs and civic landmarks and infrastructure, your work will directly influence how individuals experience the world around them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. We specialize in complex, medium-to-large scale projects that leave a significant legacy in our communities, such as hospital campuses, post-secondary facilities and housing, community centers, and affordable housing. In addition to project work, we host weekly design social events to share our expertise, project work and personal interests. We also host a range of sporting events and other social events such as architectural film screenings. Our staff actively teach at UBC's School of Architecture and Landscape Architecture and can plug you into broader industry and academic events during your time in Vancouver. We want to build a better future, so we bring our talents together to add value, promote growth and inspire positive change. HDR is a place where you can accomplish as much as you're willing to, in your work and in your career. We rally behind a good idea - and each other. Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe architecture is more than designing buildings, it’s about providing solutions to societal challenges and creating stronger, more vibrant communities. As part of our Architecture practice at HDR, you’ll contribute to the design and delivery of spaces and experiences that advance community well-being around the world. From healing environments and learning spaces to research labs and civic landmarks and infrastructure, your work will directly influence how individuals experience the world around them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. We specialize in complex, medium-to-large scale projects that leave a significant legacy in our communities, such as hospital campuses, post-secondary facilities and housing, community centers, and affordable housing. In addition to project work, we host weekly design social events to share our expertise, project work and personal interests. We also host a range of sporting events and other social events such as architectural film screenings. Our staff actively teach at UBC's School of Architecture and Landscape Architecture and can plug you into broader industry and academic events during your time in Vancouver. We want to build a better future, so we bring our talents together to add value, promote growth and inspire positive change. HDR is a place where you can accomplish as much as you're willing to, in your work and in your career. We rally behind a good idea - and each other. Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. 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"2026 Applied Science Internship - Natural Language Processing and Speech Technologies - United States, PhD Student Science", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, studentprograms", "salary" : { "min" : 65.0, "max" : 107.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:09:02.109", "fingerprint" : "4cbe0e33cb0d73eeb88883708e5a77b2ce8c8f06e42ed630c13c19332735cbf4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051025/apply", "externalId" : "f9b6653f-37f5-4ebe-879b-4ea9deac0e7e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "NLP, NLU, LLMs, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning, LSTM, Transformer-based models, Signal processing, Information extraction, Audio processing, Speaker detection, Large language models, Multilingual modeling, Java, C++, Python", "professionalSkills" : [ "Applied science", "Research problems", "Conversational AI", "Natural language understanding", "Large language models", "Reinforcement learning", "Multimodal learning", "Natural language modeling", "Speech recognition", "Text-to-speech", "Question answering", "Signal processing", "Information extraction", "Audio processing", "Speaker detection", "Multilingual modeling" ], "hardSkillsList" : [ "Natural Language Processing", "Speech Recognition", "Large Language Models", "Deep Learning", "Reinforcement Learning", "Human Feedback/HITL", "Conversational AI", "Multimodal Learning", "Natural Language Modeling", "Text-to-Speech", "Question Answering", "Signal Processing", "Information Extraction", "Audio Processing", "Speaker Detection", "Multilingual Modeling", "Statistical analysis" ], "softSkillsList" : [ "Critical thinking", "Attention to detail" ], "hardSkills" : [ { "name" : "Natural Language Processing", "level" : "intermediate" }, { "name" : "Speech Recognition", "level" : "intermediate" }, { "name" : "Large Language Models", "level" : "intermediate" }, { "name" : "Deep Learning", "level" : "intermediate" }, { "name" : "Reinforcement Learning", "level" : "intermediate" }, { "name" : "Human Feedback/HITL", "level" : "intermediate" }, { "name" : "Conversational AI", "level" : "intermediate" }, { "name" : "Multimodal Learning", "level" : "intermediate" }, { "name" : "Natural Language Modeling", "level" : "intermediate" }, { "name" : "Text-to-Speech", "level" : "intermediate" }, { "name" : "Question Answering", "level" : "intermediate" }, { "name" : "Signal Processing", "level" : "intermediate" }, { "name" : "Information Extraction", "level" : "intermediate" }, { "name" : "Audio Processing", "level" : "intermediate" }, { "name" : "Speaker Detection", "level" : "intermediate" }, { "name" : "Multilingual Modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Attention to detail" } ], "majorSkills" : "Natural Language Processing, Speech Technologies, Large Language Models, Conversational AI", "majorSkillsList" : [ "Natural Language Processing", "Speech Technologies", "Large Language Models", "Conversational AI" ], "coreResponsibilities" : "Develop novel algorithms, Develop scalable algorithms, Develop modeling techniques, Advance state-of-the-art in NLP, Advance state-of-the-art in speech recognition, Advance state-of-the-art in text-to-speech, Advance state-of-the-art in question answering, Advance state-of-the-art in conversational modeling, Tackle groundbreaking research problems, Leverage LSTM models, Leverage transformer-based models, Leverage signal processing, Leverage information extraction, Leverage audio processing, Leverage speaker detection, Leverage large language models, Leverage multilingual modeling, Collaborate with cross-functional teams, Solve complex business problems, Embrace ambiguity, Demonstrate attention to detail", "teamCollaboration" : "Cross-functional teams; Diverse groups", "domainKnowledge" : "Natural Language Processing; Speech Technologies; Conversational AI; Large Language Models; Reinforcement Learning; Deep Learning; Multimodal Learning; Human Feedback/HITL", "domainList" : [ "natural-language-processing", "speech-technologies", "conversational-ai", "large-language-models", "reinforcement-learning", "deep-learning", "multimodal-learning", "human-feedback-hitl" ], "domainSpecificKnowledge" : [ "Natural Language Processing", "Speech Technologies", "Conversational AI", "Large Language Models", "Reinforcement Learning", "Deep Learning", "Multimodal Learning", "Human Feedback/HITL" ], "continuousLearning" : "Mentorship from industry luminaries", "innovationCreativity" : "Explore innovative approaches; Bold ideas celebrated", "problemSolvingSkills" : "Tackle complex research problems", "qualificationsBasic" : "Enrolled in a PhD, 18 years of age or older, Work 40 hours/week minimum, Commit to 12 week internship maximum, Can relocate to where the internship is based, Experience programming in Java, C++, Python or related language, Experience with Natural Language Processing/Understanding, Experience with Large Language Models, Experience with Reinforcement Learning, Experience with Human Feedback/HITL, Experience with Deep Learning, Experience with Speech Recognition, Experience with Conversational AI, Experience with Natural Language Modeling, Experience with Multimodal Learning", "qualificationsPreferred" : "Publications at top-tier conferences or journals, Experience in designing experiments, Statistical analysis of results, Experience in building speech recognition systems, Experience in building machine translation systems, Experience in building natural language processing systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape the Future of Human-Machine Interaction Are you a master of natural language processing, eager to push the boundaries of conversational AI? Amazon is seeking exceptional graduate students to join our cutting-edge research team, where they will have the opportunity to explore and push the boundaries of natural language processing (NLP), natural language understanding (NLU), and speech recognition technologies. Imagine waking up each morning, fueled by the excitement of tackling complex research problems that have the potential to reshape the world. You'll dive into production-scale data, exploring innovative approaches to natural language understanding, large language models, reinforcement learning with human feedback, conversational AI, and multimodal learning. Your days will be filled with brainstorming sessions, coding sprints, and lively discussions with brilliant minds from diverse backgrounds. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.. Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Natural Language Processing & Speech Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA. Key job responsibilities We are particularly interested in candidates with expertise in: NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning. In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Natural Language Processing and Speech Technologies. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on natural language processing, speech recognition, text-to-speech (TTS), text recognition, question answering, NLP models (e.g., LSTM, transformer-based models), signal processing, information extraction, conversational modeling, audio processing, speaker detection, large language models, multilingual modeling, and more. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment. A day in the life - Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in natural language processing, speech recognition, text-to-speech, question answering, and conversational modeling. - Tackle groundbreaking research problems on production-scale data, leveraging techniques such as LSTM, transformer-based models, signal processing, information extraction, audio processing, speaker detection, large language models, and multilingual modeling. - Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in NLP/NLU, LLMs, reinforcement learning, human feedback/HITL, deep learning, speech recognition, conversational AI, natural language modeling, and multimodal learning. - Thrive in a fast-paced, ever-changing environment, embracing ambiguity and demonstrating strong attention to detail. Basic Qualifications: - Are enrolled in a PhD - Are 18 years of age or older - Work 40 hours/week minimum and commit to 12 week internship maximum - Can relocate to where the internship is based - Experience programming in Java, C++, Python or related language - Experience with one or more of the following: Natural Language Processing/Understanding, Large Language Models, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning Preferred Qualifications: - Have publications at top-tier peer-reviewed conferences or journals - Experience in designing experiments and statistical analysis of results - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "2026 Applied Science Internship - Natural Language Processing and Speech Technologies - United States, PhD Student Science at Amazon.com Services LLC. Skills: Natural Language Processing, Speech Technologies, Large Language Models, Conversational AI. Develop novel algorithms. Develop scalable algorithms", "postedDate" : "2026-06-13T08:57:18.668", "createdAt" : "2026-06-13T08:57:18.668", "lastUpdated" : "2026-06-15T04:09:02.109", "ingestTimestamp" : "2026-06-13T08:57:18.668", "mongoId" : "68b706997fc9a711f0f6fe9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051025/apply", "salaryAnnualMin" : 135200, "salaryAnnualMax" : 222560, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Natural Language Processing", "Speech Recognition", "Large Language Models", "Deep Learning", "Reinforcement Learning", "Human Feedback/HITL", "Conversational AI", "Multimodal Learning", "Natural Language Modeling", "Text-to-Speech", "Question Answering", "Signal Processing", "Information Extraction", "Audio Processing", "Speaker Detection", "Multilingual Modeling", "Statistical analysis", "Critical thinking", "Attention to detail", "Speech Technologies", "Applied science", "Research problems", "Natural language understanding", "Large language models", "Reinforcement learning", "Multimodal learning", "Natural language modeling", "Speech recognition", "Text-to-speech", "Question answering", "Signal processing", "Information extraction", "Audio processing", "Speaker detection", "Multilingual modeling" ], "skillCount" : 35, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 879.51575, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68b706997fc9a711f0f6fe98", "title" : "2026 Applied Science Internship - Information & Knowledge Management (Machine Learning) - United States, PhD Student Science", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, studentprograms", "salary" : { "min" : 65.0, "max" : 107.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:45:26.517", "fingerprint" : "9f7918258970fc8e20642d1f60aa2d62131c3ce9e23ee893783e0afabef3c681", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051018/apply", "externalId" : "5e71b018-651f-47e5-a7af-068199a6d5c5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Java, C++, Python, Knowledge Graphs, Neural Networks, GNNs, Data Structures, Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, MxNet, TensorFlow", "professionalSkills" : [ "Information Management", "Knowledge Engineering", "ML operations" ], "hardSkillsList" : [ "Information retrieval techniques", "Data analysis", "Model development", "Model validation", "Model implementation", "ML model development", "Algorithm development" ], "softSkillsList" : [ "Critical thinking", "Effective communication" ], "hardSkills" : [ { "name" : "Information retrieval techniques", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model implementation", "level" : "intermediate" }, { "name" : "ML model development", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Effective communication" } ], "majorSkills" : "Machine Learning, Information Management, Knowledge Graphs, Deep Learning", "majorSkillsList" : [ "Machine Learning", "Information Management", "Knowledge Graphs", "Deep Learning" ], "coreResponsibilities" : "Develop systems and frameworks, Develop intuitive tools and workflows, Empower machine learning teams, Unlock insights from unstructured data, Develop scalable, efficient, automated processes, Analyze large scale data, Develop machine learning models, Validate machine learning models, Implement machine learning models, Design innovative ML models, Evaluate innovative ML models, Solve complex business problems, Research ML techniques, Apply ML best practices, Improve customer delivery experience, Create scalable solutions, Conduct groundbreaking research, Propose novel approaches", "teamCollaboration" : "Collaborate with brilliant minds; Work with diverse groups; Work with cross-functional teams", "domainKnowledge" : "Information and Knowledge Management; Machine Learning; Knowledge Graphs; Neural Networks; GNNs; Data Structures; Algorithms; Time Series; Deep Learning; Large Language Models; Graph Modeling; ML operations; Knowledge engineering", "domainList" : [ "information-and-knowledge-management", "machine-learning", "knowledge-graphs", "neural-networks", "gnns", "data-structures", "algorithms", "time-series", "deep-learning", "large-language-models", "graph-modeling", "ml-operations", "knowledge-engineering" ], "domainSpecificKnowledge" : [ "Information and Knowledge Management", "Machine Learning", "Knowledge Graphs", "Neural Networks", "GNNs", "Data Structures", "Algorithms", "Time Series", "Deep Learning", "Large Language Models", "Graph Modeling", "ML operations", "Knowledge engineering" ], "communicationSkills" : "Communicate effectively", "continuousLearning" : "Learn, grow", "innovationCreativity" : "Revolutionary theory; Awe-inspiring reality; Cutting-edge AI capabilities; Accelerating innovation; Next generation of AI applications; Innovative frameworks; Groundbreaking research; Emerging best practices; Innovations in the field; Novel approaches; Highly innovative ML models; Latest ML techniques", "problemSolvingSkills" : "Solve complex business problems; Think critically", "outcomesObjectives" : "Shape the future of AI; Propel humanity forward; Leave an indelible mark", "qualificationsBasic" : "Enrolled in a PhD, 18 years of age or older, Work 40 hours/week minimum, Commit to 12 week internship maximum, Can relocate to where internship is based, Experience programming in Java, C++, Python or related language, Experience with Knowledge Graphs and Extraction, Experience with Neural Networks/GNNs, Experience with Data Structures and Algorithms, Experience with Time Series, Experience with Machine Learning, Experience with Natural Language Processing, Experience with Deep Learning, Experience with Large Language Models, Experience with Graph Modeling, Experience with Programming/Scripting Languages", "qualificationsPreferred" : "Publications at top-tier peer-reviewed conferences or journals, Experience building machine learning models, Developing algorithms for business application, Experience with MxNet, Experience with TensorFlow", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Unleash Your Potential at the Forefront of AI Innovation At Amazon, we're on a mission to revolutionize the way the world leverages machine learning. Amazon is seeking graduate student scientists who can turn revolutionary theory into awe-inspiring reality. As an Applied Science Intern focused on Information and Knowledge Management in Machine Learning, you will play a critical role in developing the systems and frameworks that power Amazon's machine learning capabilities. You'll be at the epicenter of this transformation, shaping the systems and frameworks that power our cutting-edge AI capabilities. Imagine a role where you develop intuitive tools and workflows that empower machine learning teams to discover, reuse, and build upon existing models and datasets, accelerating innovation across the company. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA. Key job responsibilities We are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages In this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment. A day in the life - Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. - Design, development and evaluation of highly innovative ML models for solving complex business problems. - Research and apply the latest ML techniques and best practices from both academia and industry. - Think about customers and how to improve the customer delivery experience. - Use and analytical techniques to create scalable solutions for business problems. Basic Qualifications: - Are enrolled in a PhD - Are 18 years of age or older - Work 40 hours/week minimum and commit to 12 week internship maximum - Can relocate to where the internship is based - Experience programming in Java, C++, Python or related language - Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages Preferred Qualifications: - Have publications at top-tier peer-reviewed conferences or journals - Experience building machine learning models or developing algorithms for business application - Experience with popular deep learning frameworks such as MxNet and Tensor Flow 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "2026 Applied Science Internship - Information & Knowledge Management (Machine Learning) - United States, PhD Student Science at Amazon.com Services LLC. Skills: Machine Learning, Information Management, Knowledge Graphs, Deep Learning. Develop systems and frameworks. Develop intuitive tools and workflows", "postedDate" : "2026-06-13T03:07:44.487", "createdAt" : "2026-06-13T03:07:44.487", "lastUpdated" : "2026-06-15T01:45:26.517", "ingestTimestamp" : "2026-06-13T03:07:44.487", "mongoId" : "68b706997fc9a711f0f6fe98", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051018/apply", "salaryAnnualMin" : 135200, "salaryAnnualMax" : 222560, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Information retrieval techniques", "Data analysis", "Model development", "Model validation", "Model implementation", "ML model development", "Algorithm development", "Critical thinking", "Effective communication", "Machine Learning", "Information Management", "Knowledge Graphs", "Deep Learning", "Knowledge Engineering", "ML operations", "Information and Knowledge Management", "Neural Networks", "GNNs", "Data Structures", "Algorithms", "Time Series", "Large Language Models", "Graph Modeling", "Knowledge engineering" ], "skillCount" : 24, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 869.1679, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a484774d8ee00a05de96e", "title" : "Process Engineering Internship (Fall 2026)", "company" : "Freeform", "industry" : "Manufacturing", "salary" : { "min" : 41600.0, "max" : 62400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in El Segundo, United States, adjusted for the manufacturing industry." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-14T22:12:45.897", "fingerprint" : "05f4c2c65605fe990f6da90eb4c167c5b7458a6513dfa7d24bd14912aec504e2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/freeformfuturecorp/jobs/7765271003", "externalId" : "7765271003", "industryFunction" : { }, "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" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, MATLAB", "professionalSkills" : [ "Data analysis", "Process development" ], "hardSkillsList" : [ "Experimental design", "Statistical analysis", "Material properties analysis", "Metrology measurements" ], "softSkillsList" : [ "Problem solving", "Ownership" ], "hardSkills" : [ { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Material properties analysis", "level" : "intermediate" }, { "name" : "Metrology measurements", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solving" }, { "name" : "Ownership" } ], "majorSkills" : "Process engineering, Data analysis, Additive manufacturing", "majorSkillsList" : [ "Process engineering", "Data analysis", "Additive manufacturing" ], "coreResponsibilities" : "Assist in developing understanding of process, Analyze in-situ data sets, Gain insight into physical mechanisms, Execute experiments, Analyze data to improve processes, Perform post-build metrology measurements, Analyze material properties, Assist in development of tool qualification procedures, Assist in implementation of tool qualification procedures", "teamCollaboration" : "Collaborate with mechanical engineers; Collaborate with software engineers; Collaborate with simulation engineers; Collaborate across disciplines", "domainKnowledge" : "Metal additive process; Multi-physics behavior; Metal 3D printing", "domainList" : [ "metal-additive-process", "multi-physics-behavior", "metal-3d-printing" ], "domainSpecificKnowledge" : [ "Metal additive process", "Multi-physics behavior", "Metal 3D printing" ], "toolProficiency" : [ "R", "JMP", "Minitab" ], "innovationCreativity" : "Develop novel processes", "problemSolvingSkills" : "Problem-solving mindset", "qualificationsBasic" : "Currently pursuing Bachelor's degree, Experience with experimental design, Statistical data analysis skills, Ability to interpret data, Experience with Python, Experience with MATLAB", "qualificationsPreferred" : "Undergraduate research experience, Process development experience, Experience with R, Experience with JMP, Experience with Minitab, Comfortable working in fast-paced environments, Iterating quickly, Willing to take ownership, Hands-on, problem-solving mindset, Demonstrated indicators of excellence, Achieving success against adversity", "workSiteFlexibility" : "Onsite", "rawDescription" : "PROCESS ENGINEERING INTERNSHIP (FALL 2026) Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. As a Process Engineering Intern at Freeform, you will help develop and refine novel processes for some of the world’s most advanced metal 3D printing systems. You will work closely with experienced engineers to study complex, multi-physics behavior within the printing process, building a foundational understanding of the system and applying those insights to support the development of next-generation processes. You’ll collaborate with mechanical, software, and simulation engineers to analyze large in-situ data sets and post-print material characteristics, contributing to rapid iteration and continuous improvement of the printing technology using data-driven and machine-learning-enabled approaches. 3D printing experience is not required to be successful here - we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! Responsibilities: Assist the Process Engineering team in developing a deep understanding of the metal additive process and hardware operation by analyzing massive in-situ data sets to gain insight into physical mechanisms of the printing process Execute experiments and analyze data to improve metal additive processes Perform post-build metrology measurements and analysis of material properties such as tensile strength, surface roughness, and alloy microstructure Assist in the development and implementation of tool qualification procedures Basic Qualifications: Currently pursuing Bachelor's degree in material science, physics, or similar engineering discipline Experience with experimental design and statistical data analysis Strong data analysis skills and ability to interpret important information from extremely large data sets Experience with Python and/or MATLAB Nice to Have: Undergraduate research experience in material science, physics, mechanical engineering Process development experience from cutting edge industries such as semiconductor, solar, or displays Experience with statistical data analysis software such as R, JMP, or Minitab Passion for improving the state of metal 3D printing Comfortable working in fast-paced, ambiguous environments and iterating quickly (comfortable building the plane as we fly it) Strong communicator who collaborates across disciplines and proactively seeks support when needed Willing to take ownership of tasks big and small, with a hands-on, problem-solving mindset Strong work ethic with a refuse-to-fail mindset Demonstrated indicators of excellence and/or achieving success against adversity (i. e. top academic performance, leadership in engineering clubs, first-generation college student, or other examples of resilience and achievement) Location: Based in Hawthorne, our vertically integrated facility brings technology development, R employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.", "summaryDescription" : "Process Engineering Internship (Fall 2026) at Freeform. 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