Staff ML Ops Engineer

Boston Dynamics; Waltham (MA); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k)

Paid time off

Annual bonus

Job summary

Boston Dynamics seeks an MLOps Engineer to shape the Central Software ML Platform. You will build and operate pipelines, tooling, and infrastructure to accelerate product and research teams creating robotic AI capabilities.

You will manage GPU clusters, automate health metrics, and optimize data and training pipelines while collaborating with ML/RL engineers and researchers across BD. Mentorship and agile collaboration are key parts of the role.

Qualifications

• 5+ years of experience as a Senior Software Engineer or ML Engineer.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Experience with cloud platforms and scalable ML deployment methods.

Responsibilities

• Implement tools, infrastructure, and pipelines for unified ML workflows.
• Maintain GPU clusters and automate cluster health monitoring.
• Profile and optimize ML data, training, and evaluation pipelines.
• Collaborate with BD product and research teams across the organization.
• Mentor peers and contribute to agile development processes.

Skills

Python

ML frameworks

Pandas

NumPy

CI/CD for ML

Agile/Scrum

Education

Bachelor's degree in Engineering or Computer Science

Tools

GCP

AWS

Docker

Kubernetes

Terraform

Ansible

Slurm

MLflow/Weights & Biases/DVC

Job description

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 impactTransform proofs of concept into scalable solutions, helping product teams deliver new robot capabilities to customersEvolve and scale fielded solutions, enabling continuous model improvement and redeploymentWork with stakeholders across BD to understand requirements, ensuring deployed solutions meet end-user needsOwn end-to-end delivery of new capabilities, spanning implementation, testing, deployment, and operationsMaintain our GPU clusters and develop automation to monitor and improve cluster healthUse observability tools to monitor system health and root-cause problems across the platformDrive 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 infrastructureBe an active participant in our agile development process, coordinating work with others, calling out challenges, and regularly communicating progressUse your experience to mentor and upskill peers and other contributors across the organizationYou bring5+ years of experience as a Senior Software Engineer or ML EngineerProficiency 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 pipelinesExperience 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 teamsBachelor's degree in Engineering, Computer Science, or a related technical field, or equivalent practical experienceNice to haveExperience with networking fundamentals such as IAP, Tailscale, Shared VPC, NATFamiliarity 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 platformsExperience with on-robot/edge deployment constraints (latency, compute limits, OTA model updatesExperience with annotation tools such as SAM or Co-TrackerWe 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.