Staff ML Systems Engineer, Distributed Systems

Job details

Work model

On-site

Salary

$195,000 - $230,000

Location

Seattle, WA; Irvine, CA

Company website

www.fieldai.com

Hiring context

How this role compares at FieldAI

FieldAI has 130 live roles in MeritLog’s catalog across 7 job families, and 17 of them are in data & analytics. 96 of those listings publish a pay range, a disclosure rate of 74%.

This role's posted range of $195,000 - $230,000 sits above 87% of the 79 other FieldAI roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job 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.

• Director, Client ServicesThe Trade Desk · Not provided by source
• General Manager (GM), Client Services, Wal-MartThe Trade Desk · On-site
• Senior Director, Inventory Development (Audio)The Trade Desk · Not provided by source
• Programmatic Trading SpecialistThe Trade Desk · On-site
• Senior Trading SpecialistThe Trade Desk · Hybrid
• Senior Applied Scientist , Channel GrowthThe Trade Desk · On-site