Research Scientist; diffusion

# Research Scientist (diffusion)
Genmo San Francisco HQFull-timeAI tools:

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You’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 expertise

Diffusion models

Text-to-video generation

Py Torch Tensor Flow Python Generative  models

Distributed computing

Video 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 compares

Compared 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 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 Tensor Flow
• Excellent communication…