About this role
Research and implement models for video content understanding, focusing on semantics, spatial structures, and causal consistency. Collaborate with Agent/RL teams to develop a closed-loop system for interactive generation and establish evaluation systems for game scenarios.
Requires a Ph.D. in AI-related fields with deep expertise in video generation, VLM models, and diffusion principles. Candidates must be proficient in Python/PyTorch and have a strong track record of publications in top-tier conferences.
What they're looking for
Required
- •Ph.D. in AI-related fields
- •Deep expertise in video generation
- •Expertise in VLM models and diffusion principles
- •Proficiency in Python/PyTorch
- •Strong track record of publications in top-tier conferences
Frequently asked questions
What does a Video Generation Content Understanding and Feedback Researcher at Tencent do?
Research and implement models for video content understanding, focusing on semantics, spatial structures, and causal consistency. Collaborate with Agent/RL teams to develop a closed-loop system for interactive generation and establish evaluation systems for game scenarios. Requires a Ph.D. in AI-rel…
What skills does this Video Generation Content Understanding and Feedback Researcher role need?
Key skills for this role include Video Understanding, Video Generation, Reinforcement Learning, Multimodal Generation, Diffusion Models, VLM Models.
How much does a Video Generation Content Understanding and Feedback Researcher at Tencent pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Video Generation Content Understanding and Feedback Researcher role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Video Generation Content Understanding and Feedback Researcher role?
You can apply directly on Tencent's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.