Tech Stack
Responsibilities
- Design and run model improvement workflows across fine-tuning, preference optimization, and RL.
- Build real-world agent environments, evaluation harnesses, validators, and reward signals.
- Create and refine high-fidelity datasets and trajectories for training frontier models.
- Run distributed experiments across GPU clusters using PyTorch and FSDP.
- Collaborate with frontier AI labs to solve complex applied research problems.
Culture
Impact-OrientedAutonomous TeamsHigh Growth
Requirements
Preferred: Master's or PhD in Computer Science, Machine Learning, or related field
Regions: Us
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About embedding-vc
Industry: ai / machine learning
Size: startup
Chakra Labs builds high-fidelity environments, evals, and datasets for post-training and frontier AI research in partnership with top labs.
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