Staff ML Systems Engineer, Distributed Systems
Field AI · Seattle, WA
RoboticsonsiteStaff$195k–$230k
At a glance
Highlights
- Architect distributed infrastructure powering large-scale ML workflows across org.
- Design scalable systems for data processing, training, evaluation and pipelines.
- Build risk-aware embodied AI tested on real robots in real field deployments.
Ideal candidate
Systems-minded ML platform builder who thrives at the intersection of engineering and learning. You care about reliable, field-tested robotics and enabling teams to scale production-grade workflows.
Lab profile
About Field AI
Builds risk-aware embodied AI for autonomous robots in construction, mining, security, and manufacturing.
What they build
- Field-ready embodied AI autonomy stack
- Autonomous robots for harsh environments
- Reality capture and construction monitoring
Known for
- Risk-aware, reliable field-ready AI systems
- Real robots, sensors, and field deployments
- Global operations in harsh environments
- Pragmatic approach beyond off-the-shelf methods
Key facts
- Based in Irvine, California
- R&D team in Boston, Massachusetts
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