Principal Researcher – Reinforcement Learning for Large Foundation Models

Location: US-Washington-Bellevue

Remote Type: Onsite

Time Type: Full time

Job Description

Business Unit

Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.

What the Role Entails

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.

Key Responsibilities
1.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.
2.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.
3.Explore frontier technologies in large foundation models, and provide technical solutions aligned with future practical application scenarios.
 

Who We Look For

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

Location State(s)

US-Washington-Bellevue

The expected base pay range for this position in the location(s) listed above is $163,800.00 to $307,600.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.

Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.