Software Engineer, Systems ML Engineering
Sunnyvale, CA | Bellevue, WA | Menlo Park, CA | Seattle, WA
USD 170K-251K (estimate) Senior-level Full Time
Tasks
- Build dashboards alerting and runbooks for incidents
- Collaborate on roadmap planning and stakeholder alignment
- Conduct code reviews and improve maintainability and scalability
- Define service level objectives for ML infrastructure services
- Design and implement ML systems infrastructure components
- Drive adoption of engineering standards testing and staged rollouts
- Lead technical design and architecture for ML systems initiatives
- Mentor engineers on ML systems best practices
- Resolve performance bottlenecks in distributed ML training and inference
- Translate model development requirements into production systems
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Benchmarking | C++ | CUDA | Dashboarding | Data parallelism | Distributed Systems | Distributed Training | Experiment tracking | Feature Flagging | Feature Store | GPU Computing | Incident Management | Inference Serving | Instrumentation | Model Parallelism | Model Registry | Pipeline parallelism | Profiling | PyTorch | Python | Runbooks | Service Level | Service-Level Objectives | System design
Education
Roles
Regions
Countries
States
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