Student Researcher (LLM Post Training – Agent & Reinforcement Learning) - 2026 Start (PhD)

About the team

The Seed LLM Post Training team is responsible for researching cutting-edge post-train technologies and providing core post-train capabilities for unified multimodal large models. The team's goal is to research and explore next-generation advanced technologies such as SFT, RM, RL, and self-learning during the post-train phase, while significantly optimizing and improving key areas including reasoning, coding, agent, and omni model. We are looking for talented individuals to join us for an internship in 2026.

Qualifications

• Currently pursuing a PhD in Computer Science, AI, or a related field.
• Research experience in reinforcement learning, sequential decision-making, or agent behavior.
• First-author publications in accredited ML/AI conferences (e.g., NeurIPS, ICLR, ICML).
• Solid programming and experimentation skills, including with RL or LLM frameworks.

Preferred Qualifications

• Experience with LLM agents, tool use, or prompt-based control.
• Familiarity with environments such as WebArena, ALFWorld, or programmatic reasoning tasks.
• Understanding of RL techniques such as reward shaping, memory augmentation, or curriculum learning.

Job Information

[For Pay Transparency] Compensation Description (Hourly) - Campus Intern The hourly rate range for this position in the selected city is $60- $60. Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.