Principal Researcher - Reinforcement Learning for Large Foundation Models

Tencent • Bellevue, WA

82d • $156,600 - $294,000

About The Position

Tencent AI Lab is dedicated to advancing cutting-edge AI technologies, with a particular focus on innovative breakthroughs in large foundation models. We are currently seeking expert-level researchers 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 and agent tasks and enhance their capabilities in autonomous exploration and continuous learning. The final position level will be determined based on the candidate's experience and accomplishments.

Requirements

• Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields from a top university.
• Experience of working in leading global companies in the field of large foundation models.
• Proficient in Python programming and experienced in developing with deep learning frameworks such as PyTorch or TensorFlow.
• Strong academic background, with publications in top-tier conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP; experience in deep learning research or engineering projects.
• Excellent communication and teamwork skills, capable of collaborating with cross-functional teams to drive project success and innovation.

Responsibilities

• Lead in conducting cutting-edge algorithm research, with a focus 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.
• 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.
• Explore frontier technologies in large foundation models, and provide technical solutions aligned with future practical application scenarios.

Benefits

• Sign on payment
• Relocation package
• Restricted stock units
• Medical benefits
• Dental benefits
• Vision benefits
• Life insurance
• Disability benefits
• Participation in the Company's 401(k) plan
• 15 to 25 days of vacation per year (depending on tenure)
• Up to 13 days of holidays throughout the calendar year
• Up to 10 days of paid sick leave per year

What This Job Offers

• Career Level: Senior
• Industry: Broadcasting and Content Providers
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees