Research Scientist

About the Company

Genmo is a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI.

Responsibilities

• Lead research initiatives in alignment and post-training methods for video generation models
• Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines
• 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 production
• Mentor junior researchers and foster a culture of responsible AI development

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field
• Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR)
• 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
• Strong software engineering skills and experience with complex shared codebases

Preferred Qualifications

• 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
• Familiarity with alignment techniques such as constitutional AI or debate
• Experience with perceptual quality metrics and human evaluation design