Senior ML Systems Engineer, Distributed Infrastructure

Field AI; Seattle (WA); On-site; USD 110,000 - 160,000; Full time

Job summary

Field AI in Irvine is seeking a Senior / Staff ML Systems Engineer to architect and build distributed infrastructure that supports large-scale machine learning workflows. This role combines machine learning, distributed systems, and platform engineering, ensuring scalable systems for data processing and model training.

Join our innovative team to solve real-world challenges in robotics by collaborating with experts from various leading organizations. We value diversity and are committed to an inclusive workplace.

Qualifications

• Experience with machine learning workflows and platforms.
• Proficiency in designing scalable systems and infrastructure.
• Strong knowledge of data processing and model evaluation pipelines.

Responsibilities

• Architect and build distributed infrastructure for machine learning.
• Design scalable systems that support data processing and model training.
• Define architectural patterns and tools for the ML platform.

Skills

Machine learning

Distributed systems

Platform engineering

Data processing

Model training

Job description

Field AI in Irvine is seeking a Senior / Staff ML Systems Engineer to architect and build distributed infrastructure that supports large-scale machine learning workflows. This role combines machine learning, distributed systems, and platform engineering, ensuring scalable systems for data processing and model training.

Join our innovative team to solve real-world challenges in robotics by collaborating with experts from various leading organizations. We value diversity and are committed to an inclusive workplace.