Member of Technical Staff, Machine Learning
Tasks
- Build ML components across data training evaluation inference
- Debug model issues performance problems and production incidents
- Fine tune and adapt models in production systems
- Implement evaluation and testing for model behavior
- Iterate on model and system improvements using user feedback
- Maintain data pipelines for real world and synthetic data
- Meet latency cost reliability and safety constraints in production
Perks/Benefits
- N/A
Skills/Tech-stack
Data Pipelines | Fine Tuning | GPU Computing | Inference | JAX | Machine Learning | Model Evaluation | Model Testing | Neural Networks | Production Debugging | PyTorch | Python
Education
N/A
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