Hiring Research Scientists and Research Engineers at PerfectBit
About the role
Research Engineers & Research Scientists — Robotics & Physical AI
San Francisco · on-site
PerfectBit is building technology to help robots learn, reason, and operate in the physical world.
Robotics requires advances across algorithms, simulation, hardware, and real-world experimentation. Robots need to perceive their environments, understand tasks, plan actions, and improve through interaction. Building capable robotic systems requires breakthroughs in learning, control, simulation, and the infrastructure that connects them.
PerfectBit develops AI-driven methods for advancing robotics. Our work may include:
- Developing learning systems for robots, including policies, world models, and vision-language-action models
- Creating simulation environments and evaluation frameworks for robotic tasks
- Applying and developing advanced computer vision and perception algorithms for autonomous robots
- Building systems that connect simulation and real-world robot deployment
- Working with robot hardware, sensors, and platforms to develop and test new capabilities
- Using synthetic and real-world experiences to improve robotic performance
- Creating tools and infrastructure that accelerate robotics research and development
We aim to infuse cutting-edge AI research with practical robotics engineering to deliver robot policies that are measurably better.
About the team
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Peter Vajda was previously Director of Media Generation at Meta Superintelligence Labs, where he led the foundation-model teams behind Movie Gen and Emu. He was previously a Visiting Assistant Professor at Stanford and holds a PhD in computer science.
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Seiji Yamamoto was previously a Senior Staff Research Scientist at Meta Superintelligence Labs, where he led teams in the Core Llama organization spanning LLM pre-training and post-training, inference, speech, and vision. He holds a PhD in physics.
