Senior Engineer, ML Data Services

Mission Summary:

We are seeking a Senior Engineer to join our ML Data Services team and help us build and improve data infrastructure for Autonomy ML teams. As a Senior Engineer, you will be responsible for building scalable microservices, APIs, and tooling to support Autonomy labeling needs. You will also help architect and implement scalable pipelines to process terabytes of data and deliver datasets for ML training, Simulation, and evaluation.

What you'll be doing:

Design and implement Restful APIs and microservices for data labeling and annotations

Architect, build and maintain scalable data processing pipelines with cloud ETL technology to deliver datasets for Autonomy teams

Take ownership of highly-available, critical backend services and APIs that store and expose terabytes of data 

Work closely with leadership and stakeholders to define objectives, align timelines, agree on key deliverables, and build the execution plan

Design and develop monitoring and observability services for the MLOps data service pipelines

Mentor and teach junior engineers in the team to develop good SDLC skills and better quality code with pairing sessions

What we're looking for:

5+ years of software development experience with Python preferred

5+ years of web backend development experience with REST APIs and microservices  

3+ years of AWS cloud experience (e.g., DynamoDB, API Gateway, EKS, Lambda, OpenSearch, Redshift, S3 )

3+ years of data engineering experience with AWS Step Functions, Airflow or Prefect

Strong written and oral communication skills

Experience working in cross-functional development teams, including quarterly road map design

Hands-on experience using modern AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate development, refactoring, and code review

Ability to mentor junior engineers

BS or MS in Computer Science or related field

Bonus points (not required):

Hands-on experience with using Ray, Beam, Spark, or related big data processing in a large-scale environment

Expertise in deploying and optimizing vector databases for retrieval pipelines and multi-dimensional data embeddings

Experience in Docker Containerization

Autonomous driving industry experience

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 

Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range $149,000 — $198,500 USD

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