Staff ML Systems Engineer, Distributed Systems
at FieldAI · 11-50 employees
Equity · $405M · Aug 2025
- Seniority
- Staff Principal
- Employment
- Full Time
- Location
- Seattle, WA
- Posted
- 7d ago
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at FieldAI · 11-50 employees
FieldAI develops physics-integrated Field Foundation Models—general-purpose embodied AI that provides robots (humanoids, quadrupeds, autonomous vehicles) with risk-aware perception and decision-making for construction, energy, and urban delivery.
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. We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization. This role sits at the intersection of machine learning, distributed systems, and platform engineering. You will be responsible for designing scalable systems that support data processing, model training, evaluation, and post-processing pipelines while enabling ML teams to efficiently develop, operate, and scale production-grade workflows. You will play a critical role in defining the architectural patterns, tooling, and infrastructure that underpin our machine learning platform.