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    Machine Learning Research Scientist - Waltham, United States - Boston Dynamics

    Boston Dynamics
    Boston Dynamics Waltham, United States

    2 weeks ago

    Default job background
    Description


    Do you have a passion for applying state-of-the-art deep learning techniques to solve real problems in robotics? As a Research Scientist on the Atlas Perception team, you will play a key role solving the uniquely challenging perception problems in humanoid robotics, including scene understanding, localization, object pose estimation, and terrain prediction.

    You will work closely with software, mechanical, and electrical engineers to research, develop, and test new robot technologies for Atlas and other R&D efforts at Boston Dynamics.

    As a leader in the field you will shape novel ML perception techniques to drastically improve the utility of mobile robots by enabling them to effectively interact with the world around them.

    How You Will Make An Impact

    Identify high impact areas where deep learning can be applied to solve real problems for our robots
    Research and evaluate new ML architectures to solve novel vision problems
    Train and adapt existing machine learning architectures for visual scene understanding
    Create real and synthetic training datasets for ML models
    Guide and participate in ML infrastructure software engineering projects
    Regularly disseminate research within the Atlas team and in wider company meetings
    We Are Looking For

    Competence in Python programming and popular ML frameworks
    Experience researching and developing new ML architectures
    3+ years working on ML with robotics applications (academic research or industry)
    Additional Desired Experience

    Experience with large-scale ML training infrastructure
    Experience training and evaluating ML models for visual scene understanding, for example:
    Object detection/semantic segmentation
    Depth estimation/completion
    Visual odometry/SLAM
    Terrain prediction
    Grasp estimation
    Hands-on robot experience
    Competent with C++ programming
    Practical knowledge of 3D geometry, projective geometry, camera models
    Experience with robot simulation software (for example: Gazebo, MuJoCo, Bullet, Unity, etc.)
    Experience or research in visual SLAM
    Familiarity with typical robotics sensors and calibration procedures
    3D sensors: ToF, structured light, stereo
    RGB cameras and photography
    IMUs
    Experience with real and synthetic dataset capture
    Experience with computer graphics (blender, procedural generation)

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