Staff ML Ops Engineer
Bostondynamics Open · verified Oct 22, 2026 At a glance
Senior ML Platform & Ops role at Bostondynamics. Waltham Office · full-time · $150,000–$180,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Convert early ML demonstrations into scalable systems that help product teams add robot capabilities
- Support ongoing model updates by scaling deployed solutions and preparing them for redeployment
- Deliver new capabilities across implementation, testing, release and operations, based on stakeholder needs
- Keep GPU clusters healthy through maintenance and automation, then use observability tools to trace platform faults
- Profile ML data, training and evaluation workflows to improve accuracy and run-time efficiency
What you bring
- At least five years working as a senior software or machine learning engineer
- Strong Python skills and experience with ML frameworks such as PyTorch, TensorFlow or another listed framework
- Experience managing GPU clusters and scheduling workloads, along with applying CI/CD to ML pipelines
- A bachelor's degree in engineering, computer science or a related technical area, or equivalent hands-on experience
- Experience with cloud platforms, scalable ML releases, data pipelines and model tracking or versioning tools
Who this fits
This senior individual-contributor role suits an experienced engineer who can handle ML infrastructure and production deployment while helping colleagues build their skills. You'll coordinate with researchers, engineers and stakeholders through an agile process. The role is based at the Waltham office, and applicants must be authorized to work in the United States; visa sponsorship is unavailable.
From the employer
As an MLOps Engineer on the Central Software (CSW) ML Platform team, you will play an active role in implementing the tools, infrastructure, and pipelines that unify how our product and research teams get stuff done. This is your chance to work closely with ML/RL engineers and researchers from across Boston Dynamics (BD), supporting advanced AI product and research activities at the forefront of robotics innovation.
How you will make an impact
- Transform proofs of concept into scalable solutions, helping product teams deliver new robot capabilities to customers
- Evolve and scale fielded solutions, enabling continuous model improvement and redeployment
- Work with stakeholders across BD to understand requirements, ensuring deployed solutions meet end-user needs
- Own end-to-end delivery of new capabilities, spanning implementation, testing, deployment, and operations
- Maintain our GPU clusters and develop automation to monitor and improve cluster health
- Use observability tools to monitor system health and root-cause problems across the platform
- Drive accuracy and efficiency by profiling and optimizing ML data, training, and evaluation pipelines.
- Work closely with other members of the ML Platform team to implement, deploy, and maintain ML infrastructure
- Be an active participant in our agile development process, coordinating work with others, calling out challenges, and regularly communicating progress
- Use your experience to mentor and upskill peers and other contributors across the organization
You bring
- 5+ years of experience as a Senior Software Engineer or ML Engineer
- Proficiency in Python and related ML frameworks (PyTorch, TensorFlow, Pandas, NumPy)
- Experience with cloud platforms (e.g., GCP, AWS) and scalable ML deployment methods (Docker, Kubernetes, Ansible, Terraform)
- Experience with GPU cluster management and scheduling (e.g., Slurm, Kueue, or similar)
- Experience with CI/CD practices applied to ML pipelines
- Experience with experiment tracking and model/data versioning tools (e.g., MLflow, Weights & Biases, DVC)
- Experience building scalable data and ETL pipelines (e.g., Spark, Airflow) alongside data processing, augmentation, and cleaning techniques.
- Experience with Agile, Scrum, or other lean methodologies; ability to work collaboratively in cross-functional teams
- Bachelor's degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience
Nice to have
- Experience with networking fundamentals such as IAP, Tailscale, Shared VPC, NAT
- Familiarity with database optimization concepts such as indexing and connection pooling.
- Experience with TypeScript, Node, and related full-stack web technologies to build internal tooling, visualization dashboards, and web-based interfaces for MLOps platforms
- Experience with on-robot/edge deployment constraints (latency, compute limits, OTA model updates
- Experience with annotation tools such as SAM or Co-Tracker
We are interested in all qualified candidates eligible to work in the United States. However, we are not able to sponsor visas for this position.
The base pay range for this position is between $150,000 to $180,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.