Student Researcher (LLM Post Training – Agent & Reinforcement Learning) - 2026 Start (PhD)
San Jose, California, United States
USD 218K-387K (estimate) Entry-level Full Time
Tasks
- 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
Skills/Tech-stack
Curriculum learning | Decision Making | Instruction Tuning | LLM Agents | Language Models | Large Language Models | Machine Learning | Preference alignment | Prompt engineering | Reinforcement Learning | Reward shaping | Sequential decision making | Tool use
Education
Roles
Regions
Countries
States
Cities
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