Senior ML Ops Engineer: Scalable AI for Robotics

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

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

Paid time off

Annual bonus

Job summary

Boston Dynamics, Inc. is seeking an experienced MLOps Engineer to join the Central Software ML Platform team in Waltham, MA. You will translate proofs of concept into scalable ML infrastructure and support product and research teams across BD in deploying robust models.

Responsibilities include end-to-end delivery, GPU cluster maintenance, observability, and continuous model improvements. You will collaborate with ML/RL engineers and mentors, shaping AI-driven robotics capabilities for customers.

Qualifications

• 5+ years of experience as a Senior Software Engineer or ML Engineer.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Pandas, NumPy).
• Experience with cloud platforms (GCP, AWS) and scalable ML deployment methods (Docker, Kubernetes, Ansible, Terraform).
• Experience with GPU cluster management and scheduling (Slurm, Kueue, or similar).
• Experience with CI/CD practices applied to ML pipelines.
• Experience with experiment tracking and model/data versioning tools (MLflow, Weights & Biases, DVC).
• Experience building scalable data and ETL pipelines (Spark, Airflow) alongside data processing, augmentation, and cleaning techniques.
• Experience with Agile, Scrum, or lean methodologies; ability to work in cross-functional teams.
• Bachelor's degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience

Responsibilities

• 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

Skills

Python

PyTorch

TensorFlow

Pandas

NumPy

ML Ops

Education

Bachelor's degree in Engineering, Computer Science, or related technical field

Tools

Docker

Kubernetes

Ansible

Terraform

MLflow

Weights & Biases

DVC

Spark

Airflow

TypeScript

Node.js

Job description

Boston Dynamics, Inc. is seeking an experienced MLOps Engineer to join the Central Software ML Platform team in Waltham, MA. You will translate proofs of concept into scalable ML infrastructure and support product and research teams across BD in deploying robust models.

Responsibilities include end-to-end delivery, GPU cluster maintenance, observability, and continuous model improvements. You will collaborate with ML/RL engineers and mentors, shaping AI-driven robotics capabilities for customers.