About the role
The Fine-tuning Science team develops tools that allow users to customize AI models. The research lead directs the team's scientific direction for customization techniques and the Tinker platform. This role involves hands-on research, team leadership, and ensuring research findings are integrated into the product.
Our summary of the posting; the original is on the Thinking Machines Lab careers page.
What the posting requires
- Required
- Python
- PyTorch
- Debugging
- Scalable code
- Parameter-efficient fine-tuning
- LoRA
- RL
- Post-training
- TensorFlow
- Distributed training
- Preferred
- Probability
- RL training
- Statistics
- Training stability
- ML fundamentals
- Large runs
These tags are our reading of the posting. They can miss something; the original posting is the reference.