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Research Scientist (diffusion)

GenmoSan Francisco HQResearch
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Salary
Not listed
Job type
Full-time
Posted
28 Sept 2026
Status
Open · checked 9d ago

About this role

The Research Scientist (diffusion) position at Home in San Francisco HQ involves driving cutting-edge advancements in text-to-video generation algorithms. This full-time role suits experienced researchers holding a Ph.D. who want to build sophisticated video world models.

Role Overview

Home seeks an exceptional Research Scientist to focus on developing advanced diffusion models for text-to-video generation. Situated at the San Francisco headquarters, the professional in this role will create novel architectures and algorithms designed to transform written text into coherent, high-quality video content. Candidates must be located near the Bay Area or open to relocation.

Key Responsibilities

Drive research initiatives targeting advanced diffusion models for text-to-video generation to enhance visual quality, semantic fidelity, and temporal consistency.
Create and execute state-of-the-art algorithms that translate text descriptions into dynamic video outputs.
Plan and perform thorough experiments to test new concepts and assess model performance.
Partner with cross-functional departments to merge research breakthroughs into the production pipeline.
Monitor field advancements by examining academic literature and participating in top-tier conferences.
Support the research community via high-impact publications and open-source contributions.
Guide junior researchers while cultivating an innovative team environment.
Coordinate with product teams to match research goals with user demands and market potential.

Requirements

Hold a Ph.D. in Artificial Intelligence, Computer Science, Machine Learning, or a relevant academic discipline.
Demonstrate a strong publication history in leading conferences such as NeurIPS, CVPR, ICCV, or ICML, emphasizing generative or diffusion models.
Possess broad background knowledge in building and tuning large-scale image or video generative models.
Exhibit deep familiarity with modern methodologies in text-to-image and text-to-video creation.
Maintain strong command over Python alongside deep learning libraries like TensorFlow or PyTorch.
Display clear communication abilities to articulate complex technical topics to varied groups.
Show a demonstrated capacity for collaborative teamwork.

Nice to Have

Bring postdoctoral or industry research background focused on video generative AI.
Offer practical background working directly on text-to-video initiatives.
Show knowledge of alternative generative model frameworks like VAEs and GANs applied to video.
Demonstrate familiarity handling distributed computing systems and large-scale datasets.
Provide a history of partnering successfully with product divisions on technology transfers.
Display awareness of perceptual quality metrics, video codecs, and compression methods.
Present active contributions to generative AI open-source projects.

Skills and Tools

Python
PyTorch
TensorFlow
Large-scale generative models
Diffusion models
Distributed computing environments

About the Company

Home operates as a research laboratory dedicated to building sophisticated video world models that simulate, understand, and interact with the physical world. The organization focuses on unlocking the right-hand side of AGI, advancing physical intelligence, and allowing robots to act and learn within a dynamic environment. The company operates as an Equal Opportunity Employer and an E-Verify participant.

How to Apply

Interested candidates should visit the official company careers page at genmo.ai to submit an application for the Research Scientist (diffusion) opening.

Skills and tech stack

PythonPyTorchTensorFlowDeep LearningMachine LearningDiffusionGenerative AI

Questions candidates ask

Where is this job located?

This full-time position is based out of the company headquarters in San Francisco, California.

What qualifications are required for the role?

Applicants must hold a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field, along with a strong publication record in top-tier conferences focusing on generative or diffusion models.

What technical skills are needed?

Candidates must be proficient in Python and deep learning frameworks such as PyTorch or TensorFlow, alongside extensive experience with large-scale generative models.

Is relocation required for this position?

Candidates are expected to reside near the Bay Area or be open to relocating to the area.

How can I apply for this position?

You can apply directly by visiting the official company careers page at genmo.ai.

Ready to apply?

The application is on the official Genmo careers page.

Apply on company site