Generalist
Software Engineer: ML Optimization
San Francisco Bay Area (San Mateo) or Boston (Somerville)
Sponsorship not specifiedDetected 169 days ago
PythonMachine LearningNumPyNLPRoboticsResearch
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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 internally call this team MBMB (More Big More Better).
- We are still in a regime of step-function, not incremental, gains.
- Optimizing both the inference and training stacks
Responsibilities
- You will own optimizations on both the training and on-robot inference stacks.
- Robots can help us build more and get more done.
- We build embodied foundation models, starting with a focus on dexterity.
Company info
- ABOUT GENERALIST At Generalist, we are on a mission to make general-purpose robots a reality.
- 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.
- We internally call this team MBMB (More Big More Better). You will own optimizations on both the training and on-robot inference stacks. We are still in a regime of step-function, not incremental, gains.
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