Hunyuan AIGC Algorithm Researcher intern (World Model Foundation Direction)

Lightspeed Studios; Palo Alto (CA); On-site; USD 80,169 - 120,000; Full time

Benefits offered by this job

Paid sick leave

13 paid holidays

Company-sponsored medical plan

Job summary

Lightspeed Studios in Palo Alto is seeking a passionate researcher for large-scale video world models. This role involves designing training datasets, optimizing algorithms, and evaluating model capabilities. Ideal candidates will have a strong foundation in deep learning and experience in model R&D.

The expected base pay ranges from $80,169 to $120,000 annually, depending on skills and experience. The position offers paid sick leave and eligibility for the company-sponsored medical plan.

Qualifications

• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, or related field.
• Solid foundation in deep learning algorithms with large model R&D experience.
• Familiarity with deep learning networks and CPU/GPU optimization.

Responsibilities

• Engage in R&D of large-scale video world models and training dataset design.
• Analyze R&D challenges and develop solutions to boost model development.
• Explore paradigms for world model implementation and next-gen architectures.

Skills

Deep learning algorithms

Large model R&D experience

Curiosity

Communication skills

Teamwork

Education

Bachelor’s degree in Computer Science

Job description

Business Unit

What the Role Entails

• 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.
• 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.
• Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities.

Who We Look For

• Bachelor’s degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field.
• 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.
• 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.
• Participation in ACM/NOIP competitions is highly desirable.
• Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity.

Location & Compensation

State(s): US-California-Palo Alto

Expected base pay range: $80,169.00 to $120,000.14 per year. Actual pay may vary depending on job-related knowledge, skills, and experience.

Benefits

1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Full‑time interns are also eligible to enroll in the Company‑sponsored medical plan.

Equal Employment Opportunity

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.