Senior Machine Learning Engineer

Overview

We are seeking a highly experienced and motivated ML Engineer to join our Stretch Grasping Intelligence team. The role involves developing novel AI algorithms to solve real-world mobile perception and manipulation problems in warehouse environments.

• Bring state‑of‑the‑art AI methods from research into the Stretch product.
• Help develop datasets, infrastructure, and tooling to build ML models at scale.
• Advocate for and leverage simulation tools (e.g. Mu Jo Co , Gazebo).
• Integrate novel techniques into Stretch software systems.
• Collaborate with adjacent teams (Manipulation, Planning, SW Platform) to define requirements and propose solutions.
• Conduct on‑robot testing and perform in‑depth log analysis to continuously improve performance and reliability.
• Work closely with software, controls, and hardware teams to test, iterate, and deploy algorithms on the robot.
• Collaborate with project leaders to maximize the Stretch robot’s capabilities.
• Build solutions that can be delivered to customers.
• Develop and maintain key infrastructure to support ongoing development of advanced capabilities.

We are looking for candidates who are enthusiastic, eager to learn, and ready to grow with our team.

• MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
• At least 3 years of experience building robotic algorithms, including training/deploying AI policies, working with robot hardware, and using simulation.
• Strong foundation in Python and modern ML frameworks (PyTorch, Jax).
• Demonstrated success in C++ and Python codebases.
• Strong analytical and debugging skills.
• Background in Reinforcement Learning, VLA models, or Behavior Cloning.

• Publications at top‑tier venues such as RSS, CoRL, Science Robotics, ICLR, NeurIPS, CVPR.

The base pay range for this position is between $154,000 and $222,000 annually, adjusted based on experience, equity, and other factors.

Boston Dynamics offers a generous benefits package that includes medical, dental, vision, 401(k), paid time off, and an annual bonus structure.

We are a rapidly growing commercial company that delivers cutting‑edge technology and solutions from industrial applications to logistics and warehouse solutions.