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python deep learning pytorch model optimization reinforcement learning📋 Description
- Define and lead research on foundation model efficiency in training and RL.
- Drive algorithmic innovations for large-scale training or inference.
- Optimize ML systems for distributed training, memory, and compute efficiency.
🎯 Requirements
- MS/PhD in CS or related field with ML and systems foundations.
- Proficient in Python and PyTorch for research implementation.
- First-author publications at top ML/systems conferences preferred.
🎁 Benefits
- Pay range transparency with regional mapping link.
- Comprehensive benefits and region-specific details via linked docs.
- Commitment to diversity and inclusion.
- Global offices, including San Francisco.
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