At theroboticscompany.com, you will develop learning systems that enable robots to act intelligently over long horizons. You will move fluidly between foundational research and practical system-building, creating capabilities across the full robot learning stack—from perception and language to real-world hardware deployment for dexterous manipulation and whole-body control.
Robotics Senior Researcher at theroboticscompany
While digital AI agents automate screens, theroboticscompany.com is building the systems to automate the physical world. As a Senior Researcher in Robot Learning & Foundation Models, you’ll develop the intelligence that lets robots perform dexterous, long-horizon tasks. Working across VLA models, world models, and sim-to-real transfer, you will bridge the gap between foundational research and real-world hardware deployment in San Francisco or Zurich. Join a team turning perception and language into reliable action and help define the future of embodied AI.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Theroboticscompany
Role overview
theroboticscompany.com is building the physical-world counterpart to AI agents, focusing on automating the physical world through advanced robotics and foundation models.
What you will do
- Develop foundation models and policies for dexterous manipulation and whole-body control using large-scale data.
- Build and scale simulation environments for training while implementing sim-to-real transfer on real robot hardware.
- Create autonomous data engines and research harnesses to measure reliability, quality, and failure modes in complex tasks.
Who this is a fit for
- Deep expertise in robot learning, reinforcement learning, or imitation learning with experience training models in PyTorch or JAX.
- Proven track record with robot simulation tools like Isaac Sim, MuJoCo, or Gazebo and experience with real-robot deployment.
- Technical mastery of manipulation, VLAs, or world models, combined with the judgment to balance classical and learned control.
Why this role is remarkable
- Build the physical counterpart to digital AI agents, solving the “physical world” problem that others have yet to master.
- Work across the entire stack, including Vision-Language-Action (VLA) models and world models for closed-loop control.
- Collaborate in a high-impact environment where research advances are turned directly into reliable production-ready capabilities.
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Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Theroboticscompany wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.