Machine Learning Engineer-Life Sciences
San Francisco, California, United States
A USD 120K-250K (estimate) Mid-level Full Time
Tasks
- Build APIs and workflows for scientific data
- Deploy ML pipelines to customers
- Ensure reliability reproducibility and performance
- Integrate ML workflows into product
- Optimize infrastructure for distributed training
- Optimize training and inference pipelines
- Productionize interpretability research into tools
- Prototype model visualization and manipulation methods
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Data Engineering | Distributed Systems | Inference Pipelines | JAX | Machine Learning | Model Interpretability | PyTorch | Python | Training pipelines | Workflow automation
Education
N/A
Regions
Countries
States
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