Software Engineer, ML Ops
Tasks
- Apply software engineering and DevOps practices for MLOps infrastructure
- Build data pipelines for field data ingestion
- Build internal tooling for perception workflows
- Collaborate with perception ML robotics teams to improve workflows
- Develop metrics monitoring diagnostics for dataset health and model performance
- Develop training workflows and optimize cloud cost
- Implement fast data access reproducible experiments automated evaluation pipelines
- Manage dataset storage indexing querying versioning delivery
- Transform raw data into curated versioned datasets
Perks/Benefits
Skills/Tech-stack
AWS | Amazon EC2 | Amazon S3 | Cloud infrastructure | Containerization | Data Engineering | Data Pipelines | Dataset versioning | Docker | MLOps | Machine Learning | Model Evaluation | Monitoring | Python | ROS2
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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