ML Software Engineer at Infi Robotics

Posted 2 Days Ago
7 Locations
In-Office or Remote
Entry level
Angel or VC Firm
The Role
Build machine learning systems and software that convert human assembly demonstrations and production data into robotic capabilities. Develop tools for data collection, behavior evaluation, policy training, and deploying improvements in a physical factory environment. Own foundational projects spanning robotics, machine learning, factory operations, and customer programs.
Summary Generated by Built In
About Infi Robotics

Infi's mission is to build a general-purpose fully autonomous factory to unlock physical abundance and reindustrialize America.

We are a robotics-native contract manufacturer helping hardware companies take their products from prototype to production at our factory in the San Francisco Bay Area. Our initial focus is automated assembly for robots, drones, and other intelligent hardware.

The role

Build the learning systems and software that turn human assembly expertise into robot capability: the path from demonstrations and production data to trained policies, and the tools to collect data, evaluate behavior, and ship improvements. You have strong software foundations and want to test your ideas against the physical world.

Join us

At Infi, you’ll own foundational projects across robotics, ML, the factory floor, and our first customer programs, and help shape the company’s direction and pace.

Apply with a short introduction and something you’ve built. Portfolio, project links, or resumes are welcome.

Learn more at infirobotics.com.

Skills Required

  • Strong software foundations
  • Ability or willingness to test ideas against the physical world
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The Company
HQ: Palo Alto, CA
154 Employees
Year Founded: 2013

What We Do

We’re specialists in pre-seed and seed. The startups we back go far. Best-in-class founders do not come around every day. When they do, we jump at the opportunity to work together. Our approach is to work with just a small number of best-in-class founders so we can dig in and go deep.

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