Hunyuan Multimodal Algorithm Researcher (Omni-Modal)

13 Minutes ago • All levels • $149,000 PA - $279,800 PA

Research Development

Job Description

Tencent is seeking a Hunyuan Multimodal Algorithm Researcher to conduct R&D on Omni multimodal large models. This role involves designing training data, foundational model algorithms, and optimizing pre-training/SFT/RL. The researcher will evaluate model capabilities, explore application scenarios, and identify bottlenecks to accelerate model development. Key responsibilities include researching next-generation model architectures and pushing the boundaries of multimodal models, requiring a strong background in deep learning and practical experience in large model development.

Good To Have:

Hands-on experience in large-scale multimodal data processing and high-quality data generation
Familiarity with Diffusion Models
Familiarity with Autoregressive Models
Publication in top-tier conferences
Experience in cross-modal (e.g., audio-visual) research
Participation in ACM or NOI competitions

Must Have:

Conduct research and development of Omni multimodal large models
Design and construct training data
Design foundational model algorithms
Optimize pre-training/SFT/RL
Evaluate model capabilities
Explore downstream application scenarios
Analyze R&D challenges scientifically
Identify bottlenecks in model performance
Devise solutions based on first principles
Accelerate model development and iteration
Explore diverse paradigms for Omni-modal understanding and generation capabilities
Research next-generation model architectures
Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields

Perks:

Sign-on payment
Relocation package
Restricted stock units
Medical benefits
Dental benefits
Vision benefits
Life and disability benefits
401(k) plan
15 to 25 days of vacation per year
13 days of holidays
10 days of paid sick leave per year

Add these skills to join the top 1% applicants for this job

team-management

communication

game-texts

deep-learning

algorithms

Business Unit

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 in the location(s) listed above is $149,000.00 to $279,800.00 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.

Who we are

Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life for people around the world.