Generalist
Software Engineer: ML Robotics Systems
San Francisco Bay Area (San Mateo) or Boston (Somerville)
Sponsorship not specifiedDetected 169 days ago
PythonCloud PlatformsKubernetesMachine LearningData EngineeringNLPRoboticsResearch
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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
- You will tackle end to end problems that make our AI models work better on robots.
- This requires stringing together many distributed python services to accomplish a given data processing, or application processing task.
Responsibilities
- Have extensive experience building complex distributed applications or data pipelines at scale
- 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 distributed cloud infrastructure and a solid understanding of cloud networking, permissions, and container orchestration (Kubernetes).
Skills
- It also requires marshaling large quantities of cloud infrastructure to process this business logic efficiently at scale.
- Expertise in python, basic distributed infrastructure skills, and solid modern ML fundamentals
Benefits
- Have experience processing petabytes of data (bonus if it's video data)
Company info
- ABOUT GENERALIST At Generalist, we are on a mission to make general-purpose robots a reality.
- Writing the business logic that gets our robot the data it needs, or the business logic that gives our customers the right access to our robots.
- 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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