Tencent is looking to solve the problem of developing Omni multimodal large models, including design and construction of training data, foundational model algorithm design, optimization, and exploration of downstream application scenarios.
Requirements
- Solid foundation in deep learning algorithms and practical experience in large model development; familiarity with Diffusion Models and Autoregressive Models is advantageous.
- 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.
- Hands-on experience in large-scale multimodal data processing and high-quality data generation is highly preferred.
- Publication in top-tier conferences or experience in cross-modal (e.g., audio-visual) research is preferred.
Responsibilities
- 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.
- 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.
- Explore diverse paradigms for achieving Omni-modal understanding and generation capabilities, research next-generation model architectures, and push the boundaries of multimodal models.
Other
- Bachelor’s degree (full-time preferred) or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields; graduate degrees are prioritized.
- Strong learning agility, communication skills, teamwork, and curiosity.
- Participation in ACM or NOI competitions is highly valued.
- 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year.
- Eligible to enroll in the Company-sponsored medical plan.
