Video Foundation AI Researcher

Video Foundation AI Researcher

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Tencent

At a Glance

  • Tasks: Lead innovative video generation projects and publish groundbreaking research.
  • Company: Join Lightspeed Studios, a leader in cutting-edge AI technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on creativity and innovation.
  • Why this job: Be at the forefront of AI research and shape the future of video technology.
  • Qualifications: Expertise in AI research, experience with PyTorch, and strong collaboration skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Lightspeed Studios seeks a senior AI researcher to push the frontiers of video generation.

You will work within Lightspeed Tech Center, contributing to diffusion-based and autoregressive models, and harness Py Torch for scalable, distributed training across large video datasets.

The role emphasizes leading end-to-end video foundation projects, publishing findings, and collaborating with engineering teams to translate research into game-ready tools and production pipelines.

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Video Foundation AI Researcher employer: Tencent

Tencent offers a dynamic and innovative work environment where interns can gain hands-on experience in AI development while collaborating with leading experts in the field. With a strong emphasis on employee growth, Tencent provides numerous opportunities for professional development and mentorship, making it an excellent choice for those looking to kickstart their careers in technology and marketing. Located in a vibrant tech hub, the company fosters a culture of creativity and collaboration, ensuring that every team member's contributions are valued and impactful.

Tencent

Contact Details:

Tencent Recruitment Team

We think you need these skills to ace Video Foundation AI Researcher

AI Research
Video Generation
Diffusion-based Models
Autoregressive Models
PyTorch
Scalable Training
Distributed Training