Tencent
Research Intern – Video World Models (Research & ML Systems)
US-California-Palo Alto · Intern · Internship
Sponsorship not specified$80k-$125kDetected 7 days ago
PythonFull-Stack DevelopmentMachine LearningPyTorchNLPLLMsResearch
About the role
- Our goal is to train models that can simulate and "dream" complex virtual worlds, allowing users and agents to explore and interact with them in real time.
- Training interactive world models at this scale requires pushing the limits of modern computing power.
- We operate at the intersection of cutting-edge generative AI research and high-performance machine learning systems.
Responsibilities
- Architect & Scale Foundation Models: Design, train, and scale state-of-the-art interactive world models (combining Diffusion, Autoregressive Transformers, VAEs, LLMs, VLMs) on massive video datasets.
- Optimize for Efficiency: Profile and optimize model architectures to break through memory and compute bottlenecks. Write high-performance, custom hardware kernels to maximize Model FLOPs Utilization (MFU) and enable real-time, low-latency inference.
- Design, train, and scale state-of-the-art interactive world models (combining Diffusion, Autoregressive Transformers, VAEs, LLMs, VLMs) on massive video datasets.
Nice to have
- Experience with GPU kernels using CUDA and/or Triton is a great plus.
- Engineering Skills: Exceptional, production-level coding proficiency in Python or other languages.
Skills
- Exceptional, production-level coding proficiency in Python or other languages.
- Background in competitive programming is a great plus.
- Location State(s)
- US-California-Palo Alto
- The expected base pay range for this position in the location(s) listed above is $80,168.40 to $124,800.00 per year.
- Equal Employment Opportunity at Tencent
Compensation
- The expected base pay range for this position in the location(s) listed above is $80,168.40 to $124,800.00 per year.
- Actual pay may vary depending on job-related knowledge, skills, and experience.This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year.
Benefits
- Thorough theoretical and practical understanding of modern generative paradigms (Diffusion, Vision Transformers, Autoregressive sequence modeling, discrete tokenization/VAEs).
- Academic Excellence: Currently pursuing a PhD (or Master's degree with a truly exceptional research/engineering track record) in Computer Science, Machine Learning, Computer Architecture, or a related field.
- AI Infrastructure & Scaling: Experience with modern AI infrastructure stack and large-scale machine learning systems, such as PyTorch FSDP, Megatron, etc.
- Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.
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.
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This listing is sourced directly from Tencent's careers page and normalized into a canonical job model.