Startups · AI

Senior ML Engineer — Data Flywheel

FieldAI · Irvine, CA · On-site

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About FieldAI

One Autonomy for All Robots. Field-proven embodied AI software that is finally unlocking the full potential of mobile robots in the real world. Backed by Khosla.

About the role

Modern ML systems improve through their data flywheel: production experience generates new data, that data is processed and understood, valuable examples are identified and labeled, datasets are created, models are retrained and evaluated, and the resulting models return to production. We are looking for an ML Engineer focused on the Data Flywheel to help build and automate this lifecycle for autonomous robots operating in complex real-world environments.

What they're looking for

  • Strong Python and software engineering skills
  • Experience building ML/data-processing pipelines
  • Understanding of ML dataset construction and training workflows
  • Experience processing large datasets using distributed or parallel computing
  • Experience with object storage, Parquet or similar formats, workflow systems, and cloud compute
  • Ability to bridge exploratory ML code and reliable production systems
More about this role

FieldAI ’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

Modern ML systems improve through their data flywheel: production experience generates new data, that data is processed and understood, valuable examples are identified and labeled, datasets are created, models are retrained and evaluated, and the resulting models return to production.

We are looking for an ML Engineer focused on the Data Flywheel to help build and automate this lifecycle for autonomous robots operating in complex real-world environments.

This role sits between ML engineering and...

Read the full posting on FieldAI's site ↗

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