Video Generation Research Intern: Controllable AI Content

HellaGoodAudio; Mountain View (WY); On-site; USD 69,000 - 110,000; Full time

Job summary

HoYoverse seeks a Video Generation Research Intern to collaborate with research and engineering teams on post-training techniques for large-scale video generation models, emphasizing controllability, quality, and temporal consistency.

You will explore cutting-edge generative modeling methods and contribute to AI-powered content creation for immersive virtual experiences, with a focus on training pipelines and evaluation benchmarks.

Qualifications

• Strong research background in video generation and training/fine-tuning models.
• Proficient in Python and PyTorch.
• Able to design and run experiments and analyze results.

Responsibilities

• Research, develop, and implement post-training methods for video generation models, including supervised fine-tuning and RL-based approaches.
• Explore controllable video generation techniques for motion control and camera movement.
• Collaborate with researchers to build training pipelines, benchmarks, and scalable workflows.
• Stay updated with generative AI advancements and contribute to publications.

Skills

Video generation research

Python

PyTorch

Experiment design

Independent research execution

Education

Master's or PhD in CS/AI/ML/CV

Tools

PyTorch

Job description

HoYoverse seeks a Video Generation Research Intern to collaborate with research and engineering teams on post-training techniques for large-scale video generation models, emphasizing controllability, quality, and temporal consistency.

You will explore cutting-edge generative modeling methods and contribute to AI-powered content creation for immersive virtual experiences, with a focus on training pipelines and evaluation benchmarks.