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    Job · 18263027

    SQUAD logo

    Lead Applied Scientist

    SQUAD · Remote · remote · Posted 76d ago

    Not disclosed5+ yrsfulltimeSourced fromGreenhouse

    About a minute. You'll make an account on the way through.

    About this role

    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 compensation and perks

    Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company

    Gig-contract

    21 paid vacation days per year, paid public holidays according to the Ukrainian legislation

    Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves

    Medical insurance is provided from day one. Sick leaves and medical leaves are available

    Remote working mode is available within Ukraine only

    Free meals, fruits, and snacks when working in the office.

    Sourced from greenhouse

    Skills

    DockerComputer Visionamazon web servicesC plus plusPythonDeep LearningGenerative AiData ScienceMachine Learning

    About SQUAD

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    SQUAD

    About

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