Senior / Staff Machine Learning Research Engineer
Tasks
- Architect production grade machine learning systems
- Build foundational software engineering libraries
- Build scientific workflow tools
- Design evaluation frameworks and benchmarks
- Develop high-throughput data pipelines
- Establish machine learning engineering culture
- Identify high impact research engineering opportunities
- Implement model parallelism
- Optimize model training and inference performance
- Translate prototype models into optimized accelerator code
Perks/Benefits
Skills/Tech-stack
Asynchronous execution | Cloud infrastructure | Data Pipelines | Diffusion networks | Distributed Systems | Distributed Training | Docker | GCP | Graph Neural Networks | High Throughput | High-throughput data | High-throughput data pipelines | JAX | Kubernetes | Model Parallelism | Neural Networks | PyTorch | Python | Transformers
Education
Regions
Countries
States
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