Generalist
Research Scientist: Pretraining
San Francisco Bay Area (San Mateo) or Boston (Somerville)
Sponsorship not specifiedDetected 169 days ago
Node.jsMachine LearningPyTorchNLPRoboticsResearch
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- We train large-scale robot foundation models from massive multimodal datasets spanning video, proprioception, action traces, language, and more.
- You will "live and breathe" all forms of robot data.
- Designing and executing large-scale pretraining runs for robot foundation models (transformer- and diffusion-based architectures)
Responsibilities
- Are excited about building general-purpose robot intelligence from first principles
- You will build the base intelligence layer for robotics.
- You will design and run the core large-scale training efforts that give our models fundamentally new general capabilities across embodiments, tasks, and environments.
- Robots can help us build more and get more done.
- We build embodied foundation models, starting with a focus on dexterity.
Benefits
- Defining model architectures, objectives, and training curricula across multimodal robotic data (vision, action, state, language)
Company info
- At Generalist, we are on a mission to make general-purpose robots a reality.
- 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.
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This listing is sourced directly from Generalist's careers page and normalized into a canonical job model.