Research Scientist, Real-Time DiT Video Models

2 months, 1 week ago
Full-time
Lead
Software Development
Oddin.gg

Oddin.gg

Oddin.gg is a top B2B esports betting provider, offering cutting-edge products like odds feeds and risk management to maximize profitability for partners worldwide.

Hotels, Restaurants & Leisure
51-250

Description

  • Design, develop, and optimize AI video generation models using diffusion techniques to improve consistency, realism, and style.
  • Develop and implement state-of-the-art algorithms for generating video content.
  • Collaborate with other teams on large-scale video datasets, including human motion, gestures, facial expressions, and scene context.
  • Experiment with cutting-edge diffusion architectures for controllable and high-quality video synthesis.
  • Define robust validation strategies and implement custom evaluation metrics comparing synthetic and real gameplay.
  • Stay current with relevant research literature in CVPR, NeurIPS, ICML, ICCV, and related venues, and align findings with the roadmap.

Requirements

  • PhD in Computer Vision, Machine Learning, or a closely related field.
  • Hands-on research experience with video diffusion models.
  • Strong research background in image or video synthesis, demonstrated by publications at top-tier conferences such as CVPR, NeurIPS, ICCV, SIGGRAPH, or ICML.
  • Experience with real-time video generation is a strong plus.
  • Proficiency in Python and ML frameworks such as PyTorch.
  • Solid understanding of neural architectures and paradigms such as CNNs, Transformers, diffusion models, and autoregressive models.

Interested in this position?

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