Research Scientist (diffusion)

Genmo; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A cutting-edge research lab is seeking a researcher to lead initiatives in advanced video generation. The ideal candidate will hold a Ph.D. in a relevant field, have a strong publication record, and be proficient in Python and deep learning frameworks. This role involves developing state-of-the-art algorithms and conducting rigorous experiments. Candidates should be near the Bay Area or open to relocation. Equal opportunity employer.

Qualifications

• Strong publication record in top-tier conferences, particularly in generative models.
• Extensive experience optimizing large-scale generative models for video tasks.
• Deep understanding of state-of-the-art techniques in text-to-video generation.

Responsibilities

• Lead research initiatives in advanced diffusion models for text-to-video generation.
• Develop algorithms for translating textual descriptions into video content.
• Conduct experiments to validate new ideas and evaluate model performance.

Skills

Publication record in top-tier conferences

Experience implementing generative models

Understanding of text-to-image and text-to-video techniques

Proficiency in Python and deep learning frameworks

Excellent communication skills

Collaborative teamwork

Education

Ph.D. in Computer Science or related field

Tools

PyTorch

TensorFlow

Job description

Role overview

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation.

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 and the Right to Work posters in English and Spanish.