Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)

Lightspeed Studios; Palo Alto (CA); Sur place; USD 182 500 - 343 200; Plein temps

Avantages offerts par ce poste

Medical, dental, vision coverage

401(k) plan participation

Vacation days (15 to 25 per year)

Paid sick leave (up to 10 days per year)

Résumé du poste

Lightspeed Studios is seeking candidates for a role focused on the research and development of large-scale video world models. This position involves designing datasets, foundational model algorithms, and evaluating model capabilities.

Ideal candidates should have a Bachelor's degree in a relevant field and experience with deep learning algorithms, preferably in large model R&D. The role offers a competitive compensation package, including benefits and vacation, based in Palo Alto, California.

Qualifications

• Solid foundation in deep learning algorithms and large model R&D experience.
• Experience in Diffusion Models and Autoregressive Models is preferred.
• Familiarity with implementation details of deep learning networks.

Responsabilités

• Engage in R&D of large-scale video world models.
• Analyze R&D challenges and develop solutions.
• Explore diverse paradigms for world model implementation.

Connaissances

Deep learning algorithms

Large model R&D

Teamwork skills

Communication skills

Curiosity

Formation

Bachelor’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related field

Outils

GPU acceleration

Distributed training/inference optimization

Description du poste

Business Unit and Role

Business Unit: Research and development of large‑scale video world models, including design and construction of training datasets, foundational model algorithm design, optimization related to pre‑training, supervised fine‑tuning, and reinforcement learning, model capability evaluation, and exploration of downstream application scenarios.

Responsibilities

• Engage in the research and development of large-scale video world models, including design and construction of training datasets, foundational model algorithm design, optimization related to pre‑training, supervised fine‑tuning (SFT), and reinforcement learning (RL); evaluate model capabilities and explore 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.

Qualifications

• 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

State(s): US-California-Palo Alto

Compensation and Benefits

Base pay range: $182,500.00 to $343,200.00 per year.

Eligible for sign‑on payment, relocation package, and restricted stock units, assessed on a case‑by‑case basis.

Benefits include medical, dental, vision, life and disability coverage, and participation in the Company’s 401(k) plan.

Vacation: up to 15 to 25 days per year (depending on tenure). Holidays: up to 13 days per year. Paid sick leave: up to 10 days per year. Benefit adjustments may apply based on location, employment status, duration of employment, and position level.

Equal Employment Opportunity

The Company is 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 feels supported and inspired to achieve individual and common goals.