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Role Focus:
- Own experiments from data and design through training, evaluation, and reporting.
- Spend roughly half the role on reinforcement learning and model training.
Responsibilities:
- Design RL environments, reward functions, and verifiers; fine-tune language models.
- Build evaluation frameworks, run experiments, and document results.
Qualifications:
- Strong Python, PyTorch, Hugging Face, and fine-tuning experience.
- Demonstrated RL, LLM evaluation, and domain-expert collaboration.