Principal Research Scientist – Scaling
Tasks
- Design and run large scale experiments and benchmarks
- Develop algorithmic innovations for large scale training and inference
- Ensure responsible and robust deployment of scaling innovations
- Establish evaluation metrics for training and inference efficiency
- Implement research prototypes in Python and PyTorch
- Lead research roadmap for LLM scaling and efficiency
- Mentor researchers and engineers
- Optimize end to end ML systems for distributed training and RL
- Partner with product and engineering to deliver scalable platform capabilities
- Represent research through publications and conference talks
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | Compute efficiency | Distributed Training | Energy Efficiency | Evaluation metrics | Inference Optimization | Language Models | Large Language Models | Low-precision training | Machine Learning | Memory efficiency | Model Optimization | PyTorch | Python | RL | Reinforcement Learning | Responsible AI
Education
Regions
Countries
States
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