Research Internship – Reinforcement Learning for Large Foundation Models

Tencent AI Lab is dedicated to advancing cutting-edge AI technologies, with a particular focus on innovative breakthroughs in large foundation models. The lab's long-term ambition is to drive the development of Artificial General Intelligence (AGI), and ultimately, Artificial Superintelligence (ASI). We are currently seeking research interns for the year of 2026, in the area of reinforcement learning (RL) for large foundation models, with an emphasis on developing stable and efficient RL algorithms. The goal is to empower large foundation models in complex reasoning ang agent tasks and enhance their capabilities in autonomous exploration and continuous learning. Our Seattle area office is located in Bellevue WA.

Every research intern will work with researchers on a research project aimed at attacking one of the core problems on the design and optimization of RL algorithms for large foundation models. Research areas include but are not limited to Reinforcement Learning Algorithms, Reward Modeling, and World Models. We will conduct large-scale experiments of RL algorithms in scenarios such as complex reasoning and autonomous agents, deliver impactful algorithms for real world applications, and publish influential research papers.

• Conduct large-scale experiments of RL algorithms in scenarios such as complex reasoning and autonomous agents.
• Deliver impactful algorithms for real world applications.
• Publish influential research papers.

• Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields from a top university.
• Self-motivated and excited about developing novel techniques.
• Research experiences in natural language processing or machine learning.
• Proficient in Python programming and experienced in developing with deep learning frameworks such as PyTorch.
• Good publication track records and history of creativity and intellectual flexibility.
• Excellent communication and teamwork skills, capable of collaborating with cross-functional teams to drive project success and innovation.

• 3 months duration (with the possibility of extension).
• Eligible for 1 hour of paid sick leave for every 30 hours worked.
• Up to 13 paid holidays throughout the calendar year.
• Eligible to enroll in the Company-sponsored medical plan.