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. Relevant experience with Java or Go  - 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 - 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 Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization.