1.61 ML Infrastructure Engineer — ML Platform, Tooling & Systems
Field AIMission Viejo, California, United States • Seattle, Washington, United States • San Francisco, California, United States
Posted July 3, 2025
70000 - 200000 USD year
Full Time
About the Company
Field AI is at the forefront of developing advanced brain technology for robots to operate autonomously in challenging industrial environments. Their hardware-agnostic approach eliminates the need for GPS, maps, or pre-programmed routes, making it ideal for hazardous and off-road settings. This innovative solution empowers robots to navigate effectively in harsh conditions, offering a distinct edge in the industry.
Job Description
Field AI is building risk-aware, reliable, and field-ready AI systems that address complex challenges in robotics, unlocking the full potential of embodied intelligence. They are seeking an ML Infrastructure Engineer to own the software platform and tooling that enables fast, reliable AI development and deployment across their ML and robotics stacks. The role involves building infrastructure, improving developer workflows, and ensuring integrity across the ML lifecycle.
Requirements
- 3+ years of industry experience in software engineering, infrastructure, MLOps, or DevOps roles.
- Deep familiarity with the ML lifecycle, including data preparation, model training, packaging, and deployment.
- Strong software engineering foundations: proficiency with Git, Python, and system design.
- Experience building and managing containerized environments (e.g., Docker) and working with orchestration tools (e.g., Kubernetes).
- Hands-on experience with CI/CD workflows and infrastructure-as-code (e.g., Terraform, AWS CDK).
- Experience with cloud ML platforms (AWS, GCP, or Azure).
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Hybrid or Remote Work Option
