Machine Learning Research Engineer
Tasks
- Advise researchers on model testing and platform usage
- Benchmark training and inference pipelines
- Document and publish empirical findings
- Generate experiments using AI agents
- Integrate ML tooling with simulation and data frameworks
- Profile hardware and software bottlenecks
- Prototype ML research experiments
- Run distributed training using Ray
- Stress test distributed clusters
- Validate ML platform and infrastructure
Perks/Benefits
- Hybrid work
- Paid time off
- Paid wellness expenses
- Volunteer opportunities
- Workshops and continuous learning
Skills/Tech-stack
AI Agents | API Design | Automation | Dask | Data pipeline | Data pipeline optimization | Debugging | Distributed Training | GPU Computing | LLM | Machine Learning | Model Deployment | Model Evaluation | Model Training | Performance Profiling | Pipeline Optimization | PyTorch | PyTorch distributed | Python | Ray | System Optimization | TensorFlow
Education
N/A
Regions
Countries
States
Cities
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