Backed by Norwest and USV.
About the role
We are actively building our teams across research science, ML infrastructure, robotics controls, hardware, data operations, and go-to-market. Most of these roles are senior, and we focus heavily on reaching talented professionals who may not be actively job-seeking. This role is about creating thoughtful talent strategies and intentionally mapping candidate ecosystems rather than simply focusing on volume.
What they're looking for
- 5+ years full-cycle technical recruiting,
- A track record of closing senior technical hires who had competing offers — with specifics you can walk us through
- Real passive-sourcing depth. You have built named-target searches from a blank page in a domain you did not previously know, and hired from them
- Data fluency. You can build a funnel, find the leak, and use the result to change a hiring manager's mind. Comfort with ATS reporting and with a spreadsheet you built yourself
- Working, current use of AI tooling in your own workflow, with judgment about where it helps and where it fabricates
- Exceptional written communication. Outreach, briefs, and internal recommendations that get read and acted on
More about this role
About Generalist
At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2 , Gemini Robotics ), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots ( Atlas , Spot , Stretch ) and pushed the limits of what they can do (from parkour to manipulation , and testing robustness ).
We are actively...
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