Research Scientist (diffusion)

We Love AI Jobs; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Genmo, a research lab in San Francisco, seeks an exceptional Research Scientist to advance diffusion models for text-to-video generation. You will create novel architectures and algorithms, pushing visual quality, temporal consistency, and semantic fidelity while translating research into practical systems.

You will publish, collaborate with product and engineering teams, mentor junior researchers, and stay current with top conferences.

Qualifications

• PhD required in CS/AI or closely related field.
• Experience leading diffusion-model research for video tasks.
• Strong publication record in top conferences.
• Proficiency in Python and DL frameworks (PyTorch/TensorFlow).
• Experience with distributed computing is a plus.

Responsibilities

• Lead research on diffusion models for text-to-video generation.
• Develop and implement state-of-the-art algorithms for video generation.
• Design and run experiments to validate new ideas and measure model performance.
• Collaborate with product and engineering teams to productionize research.
• Stay current with literature and conferences; publish and open-source when possible.
• Mentor junior researchers and drive a culture of innovation.

Skills

Diffusion models

Text-to-video

PyTorch

TensorFlow

Python

Generative models

Distributed computing

Video quality metrics

Education

PhD in Computer Science

Tools

PyTorch

TensorFlow

Job description

# Research Scientist (diffusion)GenmoSan Francisco HQFull-timeAI tools:PyTorchTensorFlowUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageYou’ll develop diffusion-model architectures and algorithms for text-to-video generation, with an emphasis on visual quality, temporal consistency, and semantic fidelity. The role combines experimentation and publication with collaboration to bring research results into production.* Permanent* On-site* PhD required* PhD### Skills and expertiseDiffusion modelsText-to-video generationPyTorchTensorFlowPythonGenerative modelsDistributed computingVideo quality metrics### Key responsibilities* Lead research on diffusion models for text-to-video generation.* Develop algorithms and run experiments to improve video quality and model performance.* Collaborate with product and engineering teams to integrate research into production.## How this job comparesCompared with 90 open mid-level research jobs on October 10, 2026.Pay: This job does not publish its pay. The 32 open mid-level research jobs that publish US pay start at $199K a year on average.Similar open jobs: We Love AI Jobs lists 90 open mid-level research jobs at 53 companies.Remote work: This job is on site. 12 of the 90 mid-level research jobs (13%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. The core work is developing and testing generative AI models for text-to-video creation. The scientist will implement model algorithms and evaluate their performance.## Full descriptionWe 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 opportunitiesQualifications:• 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 AIAdditional informationThe 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 and the Right to Work posters in English and Spanish.