Generalist
Research Scientist: Post-Training
San Francisco Bay Area (San Mateo) or Boston (Somerville)
Sponsorship not specifiedDetected 169 days ago
Full-Stack DevelopmentMachine LearningNLPRoboticsResearchCollaboration
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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
- Post-training makes it useful, controllable, safe, and performant in the real world.
- You will train large pretrained robot models into production-ready systems via fine-tuning, reinforcement learning, steering, human feedback, task specialization, evaluation, and on-robot validation-at scale.
- Regardless of your initial background, you will grow into becoming a full-stack ML roboticist capable of quickly pinpoint issues on either side of ML or controls, and all the places in between.
Responsibilities
- Robots can help us build more and get more done.
- We build embodied foundation models, starting with a focus on dexterity.
Requirements
- Have experience with fine-tuning large models for downstream tasks (RLHF, IL, RL, distillation, domain adaptation, etc.)
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.