genmo · San Francisco HQ
Skills: Python
We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world. ROLE OVERVIEW: We are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation. In this role, you will be at the forefront of innovation, creating novel architectures and algorithms that transform written descriptions into stunning, coherent video content. KEY RESPONSIBILITIES: - Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity - Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content - Design and conduct rigorous experiments to validate new ideas and evaluate model performance - Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline - Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences - Contribute to the research community through high-quality publications and open-source contributions - Mentor junior researchers and foster a culture of innovation within the research team - Work closely with product teams to align research directions with user needs and market opportunities QUALIFICATIONS: - Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field - Must have: - Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models - Extensive experience implementing and optimizing large-scale generative models for image or video tasks - Deep understanding of state-of-the-art techniq…
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