Machine Learning Engineer
Emeryville, California, United States; Hybrid (2-3 days on-site)
R
USD 180K-250K Mid-level Full Time
Tasks
- Build model alignment pipelines
- Build model evaluation pipelines
- Build model fine tuning pipelines
- Design modular multi model protein design pipelines
- Develop distributed and multi cloud ML infrastructure
- Develop scalable ETL pipelines
- Enable distributed multi node job submission
- Maximize throughput and resource utilization
- Optimize model inference code
- Optimize model training code
- Process petabyte scale protein data
- Prototype research ideas and deploy to production
Perks/Benefits
- 401k employer match
- Health, dental, vision insurance
- Paid time off
- Professional development
- Work-life balance
Skills/Tech-stack
AWS | Azure | CUDA | DDP | Distributed Training | Docker | ETL | FSDP | GCP | Kubernetes | Multi-node | Multi-node computing | PyTorch | Python | Testing | Transformer | Triton | Version control
Education
Regions
Countries
States
Cities
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