Job description

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 techniques in text-to-image and text-to-video generation - Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow - Excellent communication skills with the ability to explain complex technical concepts to diverse audiences - Proven ability to work collaboratively in a team environment - Ideal candidate will have: - Postdoctoral or industrial research experience in generative AI for video - Hands-on experience with text-to-video generation projects - Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video - Experience working with large-scale datasets and distributed computing environments - Track record of successful collaboration with product teams on technology transfers - Familiarity with video codecs, compression techniques, and perceptual quality metrics - Contributions to open-source projects in the field of generative AI ADDITIONAL INFORMATION The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation drive.google.com and the Right to Work posters in English and Spanish drive.google.com.

Requirements

Must-haves

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
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field
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 techniques in text-to-image and text-to-video generation
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
Excellent communication skills with the ability to explain complex technical concepts to diverse audiences
Proven ability to work collaboratively in a team environment
Postdoctoral or industrial research experience in generative AI for video
Hands-on experience with text-to-video generation projects
Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video
Experience working with large-scale datasets and distributed computing environments
Track record of successful collaboration with product teams on technology transfers
Familiarity with video codecs, compression techniques, and perceptual quality metrics
Contributions to open-source projects in the field of generative AI

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonai

Platform: ashby
Effort: quick