Tencent
Hunyuan Multimodal Algorithm Researcher (Omni-Modal)
US-California-Palo Alto · Full-time
Sponsorship not specified$140k-$264kDetected 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.
Compensation
- The expected base pay range for this position in the location(s) listed above is $140,400.00 to $264,000.00 per year.
Benefits
- Strong learning agility, communication skills, teamwork, and curiosity.
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.
Apply directly at Tencent →Create a free account for alerts like thisView Tencent immigration profile
This listing is sourced directly from Tencent's careers page and normalized into a canonical job model.