Senior Staff Machine Learning Engineer

Boston Dynamics•Waltham, MA

26d•$154,000 - $222,000

About The Position

We are seeking a highly experienced and motivated ML Engineer to join our Stretch Grasping Intelligence team. In this pivotal role, you will help develop novel AI algorithms to solve real-world mobile perception and manipulation problems. A strong background in deep learning methods for robotics, such as Reinforcement Learning, VLA models, and/or behavior cloning, is highly desirable for success in this position. You will work on techniques that tightly couple perception to robot behavior and planning and produce efficient and robust policies. You will be instrumental in building solutions that we can deliver to our customers. You will collaborate closely with software, controls, and hardware teams to rapidly test, iterate, and deploy your algorithms on robot. You will work with other leaders on the project to maximize the capabilities of the Stretch robot. Our team is responsible for enabling the Stretch robot to intelligently manipulate objects in warehouse environments. We also develop and maintain key infrastructure that facilitates the continuous development of these advanced capabilities. We regularly conduct on-robot testing and perform in-depth log analysis to continually enhance the performance and reliability of the solutions we offer our customers around the world.

Requirements

MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
3 years of experience building robotic algorithms, including training and deploying AI policies, working with robot hardware, and leveraging simulation.
Strong foundation in Python and modern ML frameworks (e.g. PyTorch, Jax).
Strong analytical and debug skills.
Demonstrated ability to be successful in C++ and Python codebases.
Background in Reinforcement Learning, VLA models, or Behavior Cloning.

Nice To Haves

Publications at top tier venues including RSS, CoRL, Science Robotics, ICLR, NeurIPS, CVPR is a plus.
Enthusiastic, eager to learn, and ready to grow with our team.

Responsibilities

Bring state-of-the-art AI methods out of the research lab and into the Stretch product
Help develop datasets, infrastructure, and tooling to build ML models at scale.
Advocate for and leverage the use of simulation tools (e.g. MuJoCo, Gazebo).
Integrate the use of novel techniques into Stretch software systems.
Collaborate with adjacent teams (e.g. Manipulation, Planning, SW Platform) to define requirements and propose solutions.