Research Scientist
Hedra - San Francisco, California, United States
Posted Apr 15, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
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- Weekend work
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Company
Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Research Scientist San Francisco, California, United States Overview: Hedra is building a world-class Physical AI research team to push the boundaries of action-conditioned world models and generative AI for physical systems. 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. 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 - 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 Qualifications: - PhD in Machine Learning, Computer Science, Robotics, or a related field, with publications at top ML or robotics venues - Deep expertise in
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