Staff Ml Systems Engineer, Distributed Systems
FieldAI- Location
- Seattle, WA
- Work mode
- Remote
- Type
- full time
- Listed
Applications go directly to FieldAI. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Staff ML Systems Engineer at FieldAI responsible for architecting and building distributed infrastructure for large-scale machine learning workflows. This role involves designing scalable systems for data processing, model training, evaluation, and post-processing pipelines, optimizing performance across distributed environments, and establishing best practices for ML infrastructure.
Skills and focus areas
- distributed systems
- machine learning
- platform engineering
- data processing
- model training
- pipeline development
- parallelization
- workload scheduling
- resource allocation
- fault tolerance
- performance optimization
- cpu
Summary written by Ramai from the original posting. Full details and requirements are on FieldAI’s careers page.
[ More at FieldAI ]
See all 106 open roles at FieldAI →[ Similar roles at other startups ]
- Senior Software Engineer, Agent PlatformShopMy
- Staff Security EngineerEight
- Senior Embedded Software EngineerEight Sleep
[ Not quite right? ]
Tell the assistant what you’re after — stage, location, stack, visa sponsorship — and it searches every open role for you. A few questions are free, no account needed.