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Staff ML Systems Engineer, Distributed Systems

Field Ai
CompanyField Ai
CategoryEngineering
LocationSeattle
RemoteOn-site (inferred)
EmploymentFull-time
LevelNot stated
SalaryUSD 195k–230k
Posted29 May 2026
Last verified30 Jul 2026
SourceEmployer career page (lever)
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Description
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.
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Staff ML Systems Engineer, Distributed Systems — Field Ai · Job Opportunities API