Senior Machine Learning Engineer

Field Ai
Irvine, US
On-site

Who this role is best for

Aimed at senior machine learning engineers who combine rigorous engineering with learning systems in robotics and embodied AI.

Best fit for

  • Engineers experienced in deploying AI on real hardware in field conditions.
    — “real robots, real sensors, and real field deployments”
  • Candidates who prioritize practical, iterative improvement of deployed systems.
    — “get better every time our robots run in the field”
  • Professionals comfortable moving beyond pure data-driven or transformer-only approaches.
    — “go beyond typical data-driven approaches or pure transformer-only architectures”

Things to consider

  • Work involves physical robotics integration beyond typical software roles.
    — “embodied AI meets real robots, real sensors”
  • Solutions must be risk-aware and reliable for field deployment.
    — “build risk-aware, reliable, field-ready AI systems”

How to stand out

  • Demonstrate specific examples of AI systems tested on hardware.
    — “get tested on hardware, and improve through real deployments”
  • Highlight experience with globally deployed robotic solutions.
    — “globally deployed solutions that deliver results today”
  • Showcase projects combining engineering rigor with learning systems.
    — “combining rigorous engineering with learning systems”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • field-ready AI systems
  • real deployments
Typical background
machine learningAI engineering

Skills & requirements

Required

Machine LearningAI SystemsField Deployments

Preferred

RoboticsTransformer-only Architectures

Stack & domain

Machine_learningAIRobotics

About the role

Original posting from Field Ai via Lever

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.

Source: Field Ai careers (Lever)

Similar roles