Senior Machine Learning Engineer
Core
Building and supporting full-stack ML pipelines, data infrastructure, and tools for perception/planning/prediction projects to develop safer, efficient machines.
Role type
Senior Machine Learning Infrastructure Engineer
Builds
Robust full-stack pipelines, data stores, visualization utilities, and scalable data ingestion/processing systems for ML projects.
Domain
Industrial machinery / Autonomous systems / Data Infrastructure
Deliverable
infrastructure
Required skills
Data schema design, database performance tuning, ETL processes, RDBMS and NoSQL, cloud platform development (AWS), Linux environments, ML model training and deployment, large dataset management, agentic workflows
Preferred skills
Industry knowledge of emerging ML issues, software development lifecycle (SDLC) expertise, technical troubleshooting, coaching on diagnostic techniques
Technologies
AWS, Linux, RDBMS, NoSQL
Responsibilities
Extracting, processing, and organizing raw data (images, lidar); Design and implement scalable systems for data ingestion and analysis; Develop tools to monitor and improve data quality; Analyze and improve efficiency of data infrastructure; Work with data team to define best practices for data management.
Seniority
Senior, hands-on IC
