SQUAD
Technology
LeadAppliedScientist
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Applied Scientist at SQUAD. Skills: Computer Vision, Machine Learning, Data Science, Team Leadership. Advance research projects. Optimize algorithmic performance”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
5+ years of experience, 1+ years of experience leading, Bachelor's Degree in Math, Proficient in written and spoken English, SQL proficiency, Years of experience
Nice to Have
PhD preferred, Experience with LLMs, Experience with Generative AI, Experience with DSP, Experience with Computer Vision segmentation, Experience with Metric Learning, Experience with Kalman filters, Experience with C++, AWS certification, Docker certification
What You'll Do.
Advance research projects
Optimize algorithmic performance
Own and maintain CV features
Prototype new features
Analyze research test data
Develop evaluation metrics
How You'll Work.
Team & Collaboration
Lead a team; Coordinate with data team
Communication Scope
Written and spoken English
Full Job Description
Job Summary We are looking for a Lead Applied Scientist to join our Research team. In this role, you will drive full-cycle research development in the sensors domain and report directly to the Head of Research. You will guide the team to meet key milestones and timelines. Your focus will combine technical leadership in processing visual and low-level sensor data with people management and team performance tracking. Responsibilities and Duties Lead a team of 4-8 Applied Scientists to advance research projects and algorithmic performance using a mix of state-of-the-art or "classical" techniques Own and maintain existing CV features Prototype new features within computer vision and sensor domains Coordinate with the data team to analyze research test data, develop evaluation metrics, and optimize algorithms Qualifications and Skills 5+ years of experience in research, data science, or data analysis 1+ years of experience leading a research group or technical team on data science projects Strong background as a software engineer working on advanced algorithms, or as a researcher with a track record of shipping solid production-ready software engineering solutions Deep theoretical and practical applied knowledge of Computer Vision algorithms Solid understanding of deep learning frameworks, machine learning, and data analysis concepts Strong experience in Python Good knowledge of CS fundamentals, algorithms, and data structures Bachelor’s Degree in Math, Computer Science, Robotics, or a related field Proficient in written and spoken English Nice to have Experience with LLMs and Generative AI frameworks Experience with DSP, Computer Vision segmentation, Metric Learning, and Kalman filters Experience with C++ or a willingness to develop strong C++ expertise Experience with AWS and Docker We offer multiple benefits that include The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member Competitive comp
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