Hedra
Research Scientist
San Francisco
Sponsorship not specifiedDetected 98 days ago
Machine LearningDeep LearningLLMsRoboticsResearchLeadershipCommunicationCollaboration
About the role
- You will have access to large-scale compute, the freedom to pursue high-impact research directions, and a direct path to publication at top venues.
Responsibilities
- Define and lead research directions in action-conditioned world models, physical AI, and generative modeling for embodied systems
- Design novel architectures, training objectives, and evaluation frameworks for VLMs, VLAs, and world models
- Partner with industrial collaborators to ground research in real-world physical AI use cases
- Mentor research engineers and collaborate cross-functionally to move research into production
Requirements
- PhD in Machine Learning, Computer Science, Robotics, or a related field, with publications at top ML or robotics venues
- Deep expertise in generative modeling, world models, or vision-language(-action) models
- Strong publication record at NeurIPS, ICML, ICLR, CVPR, CoRL, or equivalent venues
- Experience with large-scale model training and modern deep learning infrastructure
- Ability to independently drive research projects from ideation through publication
- Background in embodied AI, robotic manipulation, or sim-to-real transfer is highly desirable
- Strong collaboration and communication skills - comfortable bridging research and applied teams
Nice to have
- Experience with RLHF, DPO, or preference optimization for model alignment is a plus
Compensation
- Competitive compensation and equity
Benefits
- Competitive compensation and equity
- Healthcare (Silver PPO Medical, Vision, Dental)
This listing is sourced directly from Hedra's careers page and normalized into a canonical job model.