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Senior Engineer, ML Data Services

Motional
Location
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
Posted
2 months ago
Department
Infrastructure
What they actually want (must-haves)
  • 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
Nice to have
  • 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
What the job really is

As a Senior Engineer on the ML Data Services team, you will focus on building and improving data infrastructure for Autonomy ML teams. Your day-to-day responsibilities include designing and implementing RESTful APIs and microservices, architecting scalable data processing pipelines, and mentoring junior engineers. You will also collaborate with stakeholders to define objectives and ensure the delivery of high-quality data services for machine learning applications.

Benefits
  • medical, dental, vision
  • 401k with a company match
  • health saving accounts
  • life insurance
  • pet insurance
Things to weigh
  • no salary listed beyond the range of $149,000 — $198,500
  • role involves significant mentoring responsibilities
  • focus on cloud technologies and data engineering may limit exposure to other tech stacks
Job score2.6/5
Benefits3/5
Freshness1/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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