Motional
Senior Engineer, ML Data Services
$149K–$198K
Boston, Massachusetts, United States +7 · Remote · Senior · Full-time · Posted Jun 29, 2026
- Location
- Boston, Massachusetts, United States
Las Vegas, Nevada, United States
Pittsburgh, Pennsylvania, United States
Remote U.S.
Boston, Massachusetts, United States
Las Vegas, Nevada, United States
Pittsburgh, Pennsylvania, United States
Remote U.S. - Experience
- 5+ years in software development and web backend development; 3+ years in AWS cloud and data engineering.
- Education
- BS or MS in Computer Science or related field.
- Visa sponsorship
- All newly hired employees are queried through E-Verify to verify identity and employment eligibility.
About the job
Build and operate scalable data infrastructure, APIs, and pipelines that support autonomy labeling and deliver datasets for ML training, simulation, and evaluation.
What you'll do
- Design RESTful APIs, microservices, and tooling for data labeling and annotations; own critical backend services that store and expose terabytes of data.
- Build and maintain scalable cloud data-processing pipelines, and develop monitoring and observability for MLOps data services.
- Coordinate objectives and delivery plans with stakeholders, and mentor junior engineers.
What they ask for
- 5+ years of software development experience; Python preferred.
- 5+ years of web backend development experience with REST APIs and microservices.
- 3+ years of AWS cloud experience and 3+ years of data engineering experience with AWS Step Functions, Airflow, or Prefect.
- Strong communication skills; cross-functional team experience including quarterly roadmap design; experience using modern AI coding tools; ability to mentor junior engineers; BS or MS in Computer Science or a related field.
Nice to have
- Hands-on experience with Ray, Beam, Spark, or related large-scale data processing; vector databases and retrieval pipelines; Docker containerization; or autonomous driving industry experience.
Pay
$149,000 — $198,500 USD (base salary)
Tools
Python, AWS, DynamoDB, API Gateway, EKS, Lambda, OpenSearch, Redshift
AI focus
Use modern AI coding tools such as Cursor, Claude Code, or GitHub Copilot to accelerate development, refactoring, and code review; build data pipelines that deliver datasets for ML training, simulation, and evaluation.
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