Senior Software Engineer, Mlops

Autonomy Work

Irvine, CA, United States
On-site
Ml systems infrastructure
Ml model lifecycle management
Reliable training and deployment
We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence

Job Summary

  • We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.
  • In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications.
  • This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

Matching Summary

We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.

Skills & Requirements

Must-have

  • ML systems infrastructure
  • ML model lifecycle management
  • reliable training and deployment
  • monitoring of ML models

Nice-to-have

  • risk-aware AI systems
  • field-ready AI systems
  • embodied intelligence
  • fast-growing dynamic environment

Key Requirements

  • Senior MLOps Engineer experience
  • experience with machine learning engineers
  • experience with robotics engineers
  • experience with infrastructure teams

Work Rights

Not specified

Tailored Resume

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