Pay
Lower than most similar jobs
$150K–$180K against $166K–$240K, the middle half of what similar US postings state.
From 1,394 postings in the last year. Stated ranges, not salaries paid.
Staff ML Ops Engineer
Waltham Office (POST)
Live, first seen by us 42 days ago- Pay
$150,000–180,000/year · Base — pay source
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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work in the US
We are interested in all qualified candidates eligible to work in the United States
What you’ll work on
Full postingTurn ML proofs of concept into scalable solutions for product teams
Maintain GPU clusters and automate cluster health monitoring
Own end-to-end delivery: implementation, testing, deployment, and operations
Profile and optimize ML data, training, and evaluation pipelines
Use observability tools to monitor systems and root-cause problems
From the employer’s posting
Transform proofs of concept into scalable solutions
Maintain our GPU clusters and develop automation to monitor and improve cluster health
Own end-to-end delivery of new capabilities, spanning implementation, testing, deployment, and operations
Drive accuracy and efficiency by profiling and optimizing ML data, training, and evaluation pipelines.
Use observability tools to monitor system health and root-cause problems across the platform
Education & alternatives
- 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 2, 202642 days ago
- Recorded sightings
- 46
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 42
Similar jobs usually come down between day 8 and day 76.
At Bostondynamics, jobs usually come down by about day 54.
From 5,460 similar postings that came down, and 8 of Bostondynamics’s. Coming down is not always a hire.
Bostondynamics is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- TypeScript
- AWS
- Docker
- GCP
- Kubernetes
- MLflow
- Terraform
- NumPy
- pandas
- PyTorch
- TensorFlow
Where the posting names them
- 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)
- 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
- 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.
Your next step
Complete your application on bostondynamics.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Waltham Office (POST)
- 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.
- Work authorization
- 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.