Senior Video Foundation Model Researcher

L&Q OASIS LIMITED

Greater London

Hybrid

GBP 91,000 - 136,000

Full time

14 days+

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Job summary

Tencent is seeking a senior researcher to advance video generation foundations, focusing on diffusion models, autoregressive techniques, and large-scale training with PyTorch. You will lead end-to-end projects, publish results, and drive innovation across multi-frame-rate video modeling.

Applicants should have a Ph.D. in AI-related fields with top-tier publications and a strong track record in academic or industry R&D. This role emphasizes cutting-edge research and scalable system design.

Qualifications

  • Ph.D. in AI-related fields with first-author papers at top-tier conferences.
  • Proficient in diffusion models and autoregressive generation principles and engineering.

Responsibilities

  • Design and iterate on next-generation video generation foundation architecture.
  • Explore core technologies for long video generation, including long-context attention and memory mechanisms.
  • Research high-compression-ratio video tokenizers and unified modeling for multi-resolution videos.
  • Lead video pre-training at large token scale with data mixture and curriculum learning.
  • Explore Scaling Laws, define scientific scale-up paths, and improve model capabilities.
  • Track industry state-of-the-art, run comparative experiments, influence roadmap decisions, and publish papers.

Skills

Diffusion models
Autoregressive generation
PyTorch
Large-scale distributed training
Video generation

Education

Ph.D. in AI-related fields

Tools

PyTorch
Distributed training frameworks

Job description

Tencent is seeking a senior researcher to advance video generation foundations, focusing on diffusion models, autoregressive techniques, and large-scale training with PyTorch. You will lead end-to-end projects, publish results, and drive innovation across multi-frame-rate video modeling.

Applicants should have a Ph.D. in AI-related fields with top-tier publications and a strong track record in academic or industry R&D. This role emphasizes cutting-edge research and scalable system design.

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