Hunyuan Multimodal Algorithm Researcher (Omni-Modal)

Lightspeed Studios; Bellevue (WA); On-site; USD 89,378 - 167,860; Full time

Benefits offered by this job

Sign-on payment

Relocation package

Restricted stock units

Medical benefits

Dental and vision benefits

401(k) plan

Up to 25 days of vacation

Paid sick leave

Job summary

Lightspeed Studios is looking for talented professionals to conduct research and development of Omni multimodal large models. Responsibilities include designing training data, optimizing foundational model algorithms, and evaluating capabilities. Candidates should possess a Bachelor's degree or higher in Computer Science or related fields, with significant hands-on experience in multimodal data processing and deep learning algorithms.

This position offers competitive pay in the range of $64.88 to $121.85 per hour, along with a comprehensive benefits package including medical, dental, and vision insurance, retirement plans, and generous vacation and sick leave policies.

Qualifications

• Bachelor's degree or higher in related fields; graduate degrees valued.
• Hands-on experience in large-scale multimodal data processing preferred.
• Solid foundation in deep learning algorithms a must.
• Proficiency in model tuning and CPU/GPU acceleration.
• Participation in ACM or NOI competitions is highly valued.

Responsibilities

• Conduct research and development of Omni multimodal large models.
• Analyze challenges in R&D and identify performance bottlenecks.
• Explore diverse paradigms for Omni-modal understanding.

Skills

Large-scale multimodal data processing

Deep learning algorithms

Model tuning for training/inference

Hands-on experience in multimodal model development

Solid communication skills

Education

Bachelor’s degree in Computer Science or related field

Graduate degree prioritization

Job description

What the Role Entails

1. Conduct research and development of Omni multimodal large models, including the design and construction of training data, foundational model algorithm design, optimization related to pre‑training/SFT/RL, model capability evaluation, and exploration of downstream application scenarios.
2. Scientifically analyze challenges in R&D, identify bottlenecks in model performance, and devise solutions based on first principles to accelerate model development and iteration, ensuring competitiveness and leading‑edge performance.
3. Explore diverse paradigms for achieving Omni‑modal understanding and generation capabilities, research next‑generation model architectures, and push the boundaries of multimodal models.

Who We Look For

1. Bachelor’s degree (full‑time preferred) or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields; graduate degrees are prioritized.
2. Hands‑on experience in large‑scale multimodal data processing and high‑quality data generation is highly preferred.
3. Solid foundation in deep learning algorithms and practical experience in large model development; familiarity with Diffusion Models and Autoregressive Models is advantageous; publication in top‑tier conferences or experience in cross‑modal (e.g., audio‑visual) research is preferred.
4. Proficiency in underlying implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization; practical experience is a plus.
5. Participation in ACM or NOI competitions is highly valued.
6. Strong learning agility, communication skills, teamwork, and curiosity.

Location: State(s) US-California-Palo Alto

The expected base pay range for this position is $64.88 to $121.85 per hour.

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.