Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
Proficiency in Python programming and popular ML frameworks is required, along with competent C++ programming as desired experience. You will write high-quality Python and C++ code in a large shared codebase.
A strong ML / Computer Vision / Computer Graphics research background is required, with a track record of published peer-reviewed research in areas like learned 3D reconstruction, depth prediction, feature matching, semantic segmentation, object 6-DoF pose estimation, vision-language models, multimodal perception, and learned visual representations for robot manipulation.
A PhD in Computer Science, Machine Learning, Robotics, Computer Graphics or a related field is listed as additional desired experience, not a strict requirement.
You will join a world-class research team on the Atlas Perception team, collaborating with controls, planning, software, and hardware teams to test and integrate ideas on Atlas.
Strong candidates will have a proven research track record in ML, Computer Vision, or related fields, hands-on robotics experience, practical knowledge of 3D geometry and camera models, and the ability to lead projects while writing high-quality code.
Develops advanced robots for industrial applications
Boston Dynamics creates advanced robots that enhance human capabilities and safety, focusing on legged robots with high mobility, dexterity, and intelligence. Their flagship products, Spot and Pick, are designed for commercial, industrial, and research applications, performing tasks that are dangerous or physically demanding for humans. Spot, for example, is a 65-pound robot that can navigate complex terrains and avoid obstacles autonomously using built-in AI. Unlike many competitors, Boston Dynamics emphasizes responsible use of their robots, limiting sales to commercial and research clients and ensuring high-quality standards through domestic manufacturing. The company's goal is to improve safety and efficiency across various industries while exploring future consumer applications.