The ad says“Experience with large-scale model training and modern deep learning infrastructure”
The ad says“Deep expertise in generative modeling, world models, or vision-language(-action) models”
The ad says“Experience with large-scale model training and modern deep learning infrastructure”
The ad says“Deep expertise in generative modeling, world models, or vision-language(-action) models”
The ad says“Deep expertise in generative modeling, world models, or vision-language(-action) models”
Values
The ad says“Experience with RLHF, DPO, or preference optimization for model alignment is a plus”
The ad says“Background in embodied AI, robotic manipulation, or sim-to-real transfer is highly desirable”
The ad says“Experience with RLHF, DPO, or preference optimization for model alignment is a plus”
The ad says“Experience with RLHF, DPO, or preference optimization for model alignment is a plus”
The ad says“Background in embodied AI, robotic manipulation, or sim-to-real transfer is highly desirable”
The ad says“Background in embodied AI, robotic manipulation, or sim-to-real transfer is highly desirable”
As a Researcher, you will drive original research into the intersection of generative modeling, embodied AI, and real-world physical applications alongside industrial partners
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
We are looking for researchers who are excited to go beyond benchmarks and build models that operate in the real world — drawing on Hedra’s leadership in generative modeling and the depth of our academic partnerships, including connections to Fei-Fei Li and the Stanford Vision & Learning Lab
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
Direct research efforts with the goal of publishing in top journals
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
Stay at the frontier of the field — synthesizing relevant literature and identifying opportunities for impactful contributions
Contribute to Hedra’s research culture and external scientific reputation
Benefits
Healthcare (Silver PPO Medical, Vision, Dental)
401k (no match)
Gym access (at our office)
Equity
Preferred experience
Experience with large-scale model training and modern deep learning infrastructure
Ability to independently drive research projects from ideation through publication
Strong collaboration and communication skills — comfortable bridging research and applied teams
Deep expertise in generative modeling, world models, or vision-language(-action) models
PhD in Machine Learning, Computer Science, Robotics, or a related field, with publications at top ML or robotics venues
Experience with RLHF, DPO, or preference optimization for model alignment is a plus
Background in embodied AI, robotic manipulation, or sim-to-real transfer is highly desirable
Strong publication record at NeurIPS, ICML, ICLR, CVPR, CoRL, or equivalent venues
We encourage you to apply even if you don’t fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team
