Humanarchive
Research Engineer
San Francisco
Sponsorship not specifiedDetected 74 days ago
Machine LearningComputer VisionRoboticsSensorsResearch
About the role
- As a Research Engineer, you'll work on multimodal sensing systems and sensor fusion research for embodied AI and robotics.
- This role sits at the intersection of robotics, perception, hardware systems, and machine learning, where your work directly shapes how multimodal data is collected, synchronized, fused, and used for downstream VLA training.
- You'll research emerging sensing technologies across RGB-D video, motion capture, IMUs, tactile sensing, audio, and wearable systems, and study how different sensor combinations impact robot learning, policy performance, and generalization.
Responsibilities
- Design experiments around synchronization, calibration, fusion, and multimodal alignment
- Collaborate closely with hardware, ML, and research teams on next-generation sensing systems
- You'll work closely with hardware, ML, and research teams to design experiments, evaluate new sensing stacks, and help define the next generation of multimodal robotics datasets.
- To achieve this, we build custom hardware products, deploy them globally at scale, and publish research.
- We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia.
- You will own meaningful systems from day one and see your work directly impact model capabilities.
Requirements
- Experience with RGB-D video, IMUs, motion capture, tactile sensing, or robotics systems
Benefits
- Master's or PhD in robotics, computer vision, sensing systems, or related fields
- Strong technical intuition around hardware systems and robot learning
Company info
- Our mission is to recover human embodied intelligence as a learned model.
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