Student Researcher (LLM Post Training – Agent & Reinforcement Learning) - 2026 Start (PhD)
Summary
Researcher optimizing large language models via post-training techniques like RLHF/DPO to improve reasoning, coding, and math while exploring future use cases.
- Conduct preference alignment
- Construct training data
- Explore large-scale models
- Improve coding capability
- Improve math capability
- Improve reasoning capability
- Optimize multimodal large models
- Optimize post training systems
- Perform instruction tuning
- Research future model use cases
Perks/Benefits:
- Health insurance
- Housing allowance
- Life insurance
- Paid Holidays
- Paid sick time
- Wellbeing benefits