Tencent
Hunyuan Multimodal Algorithm Researcher (Omni-Modal)
US-California-Palo Alto · Full-time
Sponsorship not specified$158k-$297kDetected 20 days ago
AlgorithmsDeep LearningResearchCommunicationCollaboration
About the role
- 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.
- 3.Solid foundation in deep learning algorithms and practical experience in large model development; familiarity with Diffusion Models and Autoregressive Models is advantageous.
Requirements
- familiarity with Diffusion Models and Autoregressive Models is advantageous.
- 1.Bachelor's degree (full-time preferred) or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields; graduate degrees are prioritized.
Compensation
- The expected base pay range for this position in the location(s) listed above is $158,300.00 to $297,000.00 per year.
Benefits
- 6.Strong learning agility, communication skills, teamwork, and curiosity.
- Benefits may also be pro-rated for those who start working during the calendar year.
Equal 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.
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