Machine Learning Engineer (Platform)
Tasks
- Build ML compute and scaling components
- Build and evolve core ML libraries
- Deploy optimized models to production
- Develop distributed training infrastructure
- Optimize GPU and CPU efficiency
- Optimize data throughput for training pipelines
- Optimize distributed training pipelines for large scale models
- Provide ML observability and performance insights
- Store and serve digital pathology data
Perks/Benefits
Skills/Tech-stack
AWS | CPU Optimization | Data Processing | Data throughput | Distributed Training | Docker | GPU Computing | GPU Optimization | JAX | Kubernetes | Machine Learning | Observability | PyTorch | Python | TensorFlow
Education
N/A
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