About this role
Business Unit
What the Role Entails
1. Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios.
2. Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership.
3. Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities.
Who We Look For
1. Bachelor’s degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field.
2. Solid foundation in deep learning algorithms and proven experience in large model R&D. Candidates with experience in Diffusion Models and Autoregressive Models, publications in top-tier conferences, or practical experience in text-to-image/text-to-video generation are preferred.
3. Familiarity with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization. Hands-on experience is a plus.
4. Participation in ACM/NOIP competitions is highly desirable.
5. Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity.
Location State(s)
US-California-Palo AltoThe 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.
Other facts
About Tencent
Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world.
Founded in 1998 with its headquarters in Shenzhen, China, Tencent's guiding principle is to use technology for good. Our communication and social services connect more than one billion people around the world, helping them to keep in touch with friends and family, access transportation, pay for daily necessities, and even be entertained.
Tencent also publishes some of the world's most popular video games and other high-quality digital content, enriching interactive entertainment experiences for people around the globe.
Tencent also offers a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.
Tencent has been listed on the Stock Exchange of Hong Kong since 2004.
What you'll do
- Engage in the research and development of large-scale video world models and analyze R&D challenges to develop solutions. Explore diverse paradigms for world model implementation and push the boundaries of world model capabilities.
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