Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)

Lightspeed Studios; Bellevue (WA); On-site; USD 149,000 - 279,800; Full time

Benefits offered by this job

Sign-on payment

Relocation package

Stock options

Medical, dental, vision benefits

401(k) plan

15-25 vacation days

13 holidays

10 paid sick leave days

Job summary

Lightspeed Studios is seeking a qualified candidate for a role focused on the research and development of large-scale video world models in Bellevue, Washington. Responsibilities include optimizing training datasets, evaluating model capabilities, and developing solutions to enhance competitiveness.

The ideal candidate will have a bachelor's degree in a related field and experience in large model R&D, particularly with deep learning algorithms. The position offers a base pay range of $149,000 to $279,800 per year and comprehensive benefits including stock options and up to 25 vacation days.

Qualifications

• Bachelor’s degree or higher in Computer Science, AI, Mathematics, or related field.
• Experience in large model R&D, especially in Diffusion and Autoregressive Models.
• Familiarity with deep learning network implementation and optimization techniques.
• Participation in ACM/NOIP or similar competitions.
• Strong teamwork and communication skills.

Responsibilities

• Conduct research on large-scale video world models and training datasets.
• Analyze R&D challenges and identify performance bottlenecks.
• Explore diverse paradigms for world model implementation.

Skills

Deep learning algorithms

Large model R&D experience

GPU acceleration

Team communication

Research competition participation

Education

Bachelor’s degree in Computer Science or related field

Job description

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 and Compensation

Location: US, Washington – Bellevue.

The expected base pay range for this position is $149,000.00 to $279,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees may be eligible for a sign‑on payment, relocation package, and restricted stock units, 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 tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Benefits may adjust or be pro‑rated based on location, employment status, duration of employment, and position level.

Equal Employment Opportunity

We are an equal‑opportunity employer and promote diversity and inclusion in all aspects of employment.