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.

Day to day activities:

• Identify high-impact areas where deep learning can be applied to solve real problems for our robots

• Research and evaluate new ML solutions to solve novel vision problems

• Train and adapt existing machine learning architectures for visual scene understanding

• Regularly present research within the Atlas team and in wider company meetings

• Guide and participate in ML and robot infrastructure software engineering projects

We are looking for:

• MS in Computer Science, Machine Learning, Robotics, or a related field

• Strong ML / Computer Vision research background

• Experience applying ML to robotics, hands-on robot experience

• Proficiency in Python programming and popular ML frameworks

• Track record of ML research in fields such as:

  • Object detection and semantic 2D or 3D scene understanding w/ VLMs

  • Model-free 6DoF object pose or grasp estimation

  • 3D depth estimation, scene reconstruction, and learned visual representations

  • Interfacing perception with learned control policies (RL, Behavior Cloning)

Additional desired experience:

• Experience training and fine-tuning large models with in-house data

• Practical knowledge of 3D geometry, projective geometry, camera models

• Familiarity with typical robotics sensors and calibration procedures (e.g. ToF, Stereo, RGB, IMUs)

• Competent with C++ programming

• PhD in Computer Science, Machine Learning, Robotics, or a related field

#LI-JM1