Senior ML Engineer: Field Robotics & Navigation

FieldAI; United States; On-site; USD 180,000 - 215,000; Full time

Benefits offered by this job

Publications in ML conferences

Job summary

FieldAI in Irvine designs risk-aware, field-ready AI systems for embodied robotics, testing on real hardware and deploying in challenging environments. This team blends rigorous engineering with learning systems proven in globally deployed solutions that perform as robots run in the field.

You will design, train, and deploy ML models for end-to-end navigation, work with PyTorch/TensorFlow, and contribute to perception, prediction, and planning.

Qualifications

• Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX.
• Working knowledge of C++ for deployment and system integration.
• Deep understanding of contemporary deep learning architectures, optimization, and evaluation.
• Strong grasp of end-to-end navigation stack components — perception, prediction, and path/motion planning.

Responsibilities

• Design, train, and deploy state-of-the-art machine learning models for end-to-end learning based navigation stack.
• Work with deep learning architectures such as transformers, convolutional networks to capture complex decision making.
• Architect and implement full-stack end-to-end navigation solutions, covering perception, prediction, and planning.
• Explore novel data generation and collection pipelines to enrich training datasets.

Skills

Python

PyTorch

TensorFlow

JAX

C++

Deep Learning

Navigation stack

Education

Bachelor’s or Master’s degree in CS/AI/Statistics

Job description

FieldAI in Irvine designs risk-aware, field-ready AI systems for embodied robotics, testing on real hardware and deploying in challenging environments. This team blends rigorous engineering with learning systems proven in globally deployed solutions that perform as robots run in the field.

You will design, train, and deploy ML models for end-to-end navigation, work with PyTorch/TensorFlow, and contribute to perception, prediction, and planning.