Staff Software Engineer, ML Infrastructure
San Francisco
USD 300K-430K Senior-level Full Time Found 4d ago
Tasks
- Build evaluation and experimentation infrastructure
- Design distributed training platforms
- Implement training algorithms
- Improve latency and cost efficiency
- Mentor engineers and establish best practices
- Own inference architecture and routing
- Research inference optimizations
Perks/Benefits
Skills/Tech-stack
Batching Strategies | Distributed Training | Fault Tolerance | Inference architecture | JAX | Model Evaluation | Optimization | PyTorch | Python | Quantization | Speculative decoding | TensorFlow
Education
Bachelor's | Master's | PhD
Regions
Countries
States
Language: en |
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Clicks: 0
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