Oddin.gg
Gaming • B2B • B2C
Oddin. gg is a leading provider in the esports betting industry, offering a comprehensive suite of products that enhance betting experiences for both B2B platform providers and B2C operators. Their services include integration of esports odds, risk management solutions, and a user-friendly back-office platform to streamline operations. With a strong commitment to engaging new generations of bettors and ensuring integrity in esports betting, Oddin. gg is positioned as a market leader in this rapidly growing sector.
201 - 500 employees
Founded 2018
🎮 Gaming
🤝 B2B
👥 B2C
Research Scientist, Real-Time DiT Video Models
Job not on LinkedIn
September 17
Oddin.gg
Gaming • B2B • B2C
Oddin. gg is a leading provider in the esports betting industry, offering a comprehensive suite of products that enhance betting experiences for both B2B platform providers and B2C operators. Their services include integration of esports odds, risk management solutions, and a user-friendly back-office platform to streamline operations. With a strong commitment to engaging new generations of bettors and ensuring integrity in esports betting, Oddin. gg is positioned as a market leader in this rapidly growing sector.
201 - 500 employees
Founded 2018
🎮 Gaming
🤝 B2B
👥 B2C
📋 Description
• Design, develop, and optimize AI video generation models using diffusion techniques, focusing on consistency, realism, and style • Develop and implement state-of-the-art algorithms for generating video content • Work closely with other teams on large-scale video datasets including human motion, gestures, facial expressions, and scene context • Experiment with diffusion architectures for controllable and high-quality video synthesis • Define validation strategies and implement custom evaluation metrics comparing synthetic vs. real gameplay • Stay up-to-date with relevant literature and align findings with product roadmap
🎯 Requirements
• PhD in Computer Vision, Machine Learning, or a closely related field • Hands-on experience with research of video diffusion models • Strong research background in image or video synthesis with publications at top-tier conferences (CVPR, NeurIPS, ICCV, Siggraph, ICML) • Experience with real time video generation is a plus • Proficiency in Python and ML frameworks such as PyTorch • Solid understanding of neural architectures or paradigms (CNNs, Transformers, diffusion models, autoregressive models) • Familiarity with current literature (CVPR, NeurIPS, ICML, ICCV)
🏖️ Benefits
• Remote work • Opportunity to shape future of interactive video content • Work with cutting-edge AI research • Join a diverse group of innovators • Collaborate across teams on large-scale datasets
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