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 advanced diffusion models for text-to-video generation
• 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 production pipelines
• Stay at the cutting edge of the field by reviewing academic literature and attending conferences
• Contribute to the research community through high-quality publications and open-source contributions
• Mentor junior researchers and foster a culture of innovation
• Work closely with product teams to align research directions with user needs

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field
• Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) focusing on generative or diffusion models
• Extensive experience implementing and optimizing large-scale generative models for image or video tasks
• Deep understanding of text-to-image and text-to-video generation techniques
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
• Excellent communication skills and ability to work collaboratively

Preferred Qualifications

• Postdoctoral or industrial research experience in generative AI for video
• Hands-on experience with text-to-video generation projects
• Expertise in GANs, VAEs, and their applications to video
• Experience with large-scale datasets and distributed computing environments
• Familiarity with video codecs, compression techniques, and perceptual quality metrics
• Contributions to open-source projects in generative AI