Staff Machine Learning Infrastructure Engineer
Tasks
- Architect model validation infrastructure
- Build Kubernetes based training pipelines
- Build model management and metadata tracking
- Collaborate with robotics and machine learning teams
- Design machine learning training infrastructure
- Develop data ingestion pipelines
- Implement continuous integration testing for policies
- Implement experiment tracking and observability
- Orchestrate distributed compute jobs
- Scale distributed GPU workloads
- Stream multi sensor vehicle logs
Perks/Benefits
- 401k
- Commuter benefit
- Dental insurance
- Disability insurance
- Equity
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Sick time
- Unlimited flexible time off
- Vision insurance
Skills/Tech-stack
Continuous integration | Data Engineering | Data Ingestion | Data Pipelines | Distributed Computing | Experiment tracking | Go | High Throughput | High-throughput data | High-throughput data pipelines | Java | Kubernetes | MLOps | MLflow | Machine Learning | Metadata tracking | Model Registry | Python | Ray | Rust
Education
N/A
Regions
Countries
States
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