Advanced Video Generation Researcher
1 month ago
We are Genmo, a cutting-edge research lab dedicated to developing open-source, state-of-the-art models for video generation towards unlocking the potential of Artificial General Intelligence. We strive to push the boundaries of what's possible in video generation and create a safer, more reliable future for AI.
Job Title: Research Scientist
Estimated Salary: $250,000 - $300,000 per year based on experience and qualifications in the Bay Area, San Francisco.
Job Description
We are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. As a key member of our research team, you will be responsible for ensuring our diffusion-based video models 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 forefront 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.
Qualifications:
To succeed in this role, you should have a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. You must have a strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models. Additionally, you should have extensive experience implementing and optimizing large-scale training pipelines using PyTorch, a deep understanding of reinforcement learning techniques, particularly RLHF, experience with distributed training systems and large-scale experiments, and a proven track record in designing and implementing robust evaluation frameworks. Excellent communication skills, software engineering skills, and experience with complex shared codebases are also essential.
Bonus Qualifications:
The ideal candidate will have experience with diffusion models or other generative architectures, a background in fine-tuning large language models or generative models, experience working with human feedback data collection and annotation pipelines, a strong aesthetic sense and understanding of video quality assessment, familiarity with alignment techniques such as constitutional AI or debate, a track record of successful collaboration with product teams, experience with perceptual quality metrics and human evaluation design, and contributions to open-source projects in AI alignment or generative AI.
Additional Information:
The role is based in the Bay Area, San Francisco, and candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer, and 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.
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