Research Scientist (post-training)

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 alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values.

Key responsibilities:

Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent

Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models

Develop robust evaluation frameworks to measure model alignment, safety, and output quality

Create and optimize data collection pipelines for human feedback and preferences

Design and conduct experiments to validate alignment techniques and their scaling properties

Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline

Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment

Mentor junior researchers and foster a culture of responsible AI development

Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities

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., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models

Extensive experience implementing and optimizing large-scale training pipelines using PyTorch

Deep understanding of reinforcement learning techniques, particularly RLHF

Experience with distributed training systems and large-scale experiments

Proven track record in designing and implementing robust evaluation frameworks

Excellent communication skills with the ability to explain complex technical concepts to diverse audiences

Strong software engineering skills and experience with complex shared codebases

Ideal candidate will have:

Experience with diffusion models or other generative architectures

Background in fine-tuning large language models or generative models

Experience working with human feedback data collection and annotation pipelines

Strong aesthetic sense and understanding of video quality assessment

Familiarity with alignment techniques such as constitutional AI or debate

Track record of successful collaboration with product teams

Experience with perceptual quality metrics and human evaluation design

Contributions to open-source projects in AI alignment or 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 .