Job Description
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.
Required Skills
Categories
Frequently asked questions
Is the Staff ML Systems Engineer, Distributed Systems position at Field AI remote?
The Staff ML Systems Engineer, Distributed Systems role at Field AI is an on-site or hybrid position.
What type of employment is the Staff ML Systems Engineer, Distributed Systems role?
Field AI is hiring for a full-time Staff ML Systems Engineer, Distributed Systems position.
What skills are needed for the Staff ML Systems Engineer, Distributed Systems job at Field AI?
Key skills for this role include Distributed Systems.
How do I apply for the Staff ML Systems Engineer, Distributed Systems position at Field AI?
You can apply for the Staff ML Systems Engineer, Distributed Systems role directly through Field AI's official application link provided on this page.
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