Robotics ML Engineer: Field-Ready Autonomy & Deployment

Energy Jobline ZR; Seattle (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

FieldAI in Irvine, CA seeks an experienced ML Engineer to design, train, and deploy end-to-end navigation models. The role emphasizes perception, prediction, and planning pipelines, with deployment to production and continuous monitoring in robotics contexts.

You will work with PyTorch, TensorFlow, and JAX, using Python and C++ for integration. A strong foundation in deep learning and robotics is essential for building reliable field-ready AI systems.

Qualifications

• Bachelor's or Master's degree in CS, AI, Statistics, or related field.
• 4+ years of industry experience.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX with C++ deployment.
• Experience deploying ML models in robotics, self-driving, or NLP.

Responsibilities

• Design, train, and deploy state-of-the-art ML models for end-to-end learning based navigation stack.
• Work with transformers, convolutional networks to capture complex decision making.
• Architect and implement full-stack end-to-end navigation solutions (perception, prediction, planning).
• Explore novel data and collection pipelines to enrich training datasets.
• Assist with deploying ML models into production environments, monitor models, and troubleshoot deployment issues.

Skills

Python

PyTorch

TensorFlow

C++

Robotics

ML deployment

Education

Bachelor's or Master's in CS/AI/Statistics

Tools

JAX

CUDA

Git

Job description

FieldAI in Irvine, CA seeks an experienced ML Engineer to design, train, and deploy end-to-end navigation models. The role emphasizes perception, prediction, and planning pipelines, with deployment to production and continuous monitoring in robotics contexts.

You will work with PyTorch, TensorFlow, and JAX, using Python and C++ for integration. A strong foundation in deep learning and robotics is essential for building reliable field-ready AI systems.