Staff ML Ops Engineer
Boston Dynamics develops and deploys highly mobile robots and fleet-management software for industrial inspection, warehouse operations, and manufacturing automation.
Maintainer signals as of 9/25/2026
Funding history
Investors
About Boston Dynamics
Boston Dynamics, Inc. is a Waltham, Massachusetts robotics company developing commercial mobile robots. Its current portfolio includes the Spot quadruped, Stretch warehouse robot, Atlas humanoid robot, and Orbit fleet-orchestration software.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will turn machine-learning proofs of concept into scalable production solutions and support continuous model improvement and redeployment. You will build, test, deploy, and operate ML capabilities; maintain GPU clusters; monitor platform health; optimize ML pipelines; and mentor contributors.
Requirements
- 5+ years of experience as a Senior Software Engineer or ML Engineer
- Proficiency in Python, PyTorch, TensorFlow, Pandas, and NumPy
- Experience with GCP or AWS
- Experience with Docker, Kubernetes, Ansible, and Terraform
- Experience with GPU cluster management and scheduling
- Experience with CI/CD for ML pipelines
- Experience with MLflow, Weights & Biases, or DVC
- Experience building scalable data and ETL pipelines with Spark or Airflow
- Experience with data processing, augmentation, and cleaning
- Experience with Agile or Scrum methodologies
- Bachelor's degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience
- Eligibility to work in the United States
Responsibilities
- Transform proofs of concept into scalable solutions
- Evolve deployed solutions for continuous model improvement and redeployment
- Gather stakeholder requirements and deliver end-user solutions
- Own implementation, testing, deployment, and operations of new capabilities
- Maintain GPU clusters and automate cluster-health monitoring
- Monitor system health and root-cause platform problems
- Profile and optimize ML data, training, and evaluation pipelines
- Implement, deploy, and maintain ML infrastructure
- Coordinate agile development work and communicate progress
- Mentor and upskill contributors
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Paid time off
- Annual bonus structure