Research Scientist (diffusion)

About the role

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