FieldAI

Senior Machine Learning Engineer

Irvine, CA · Senior

Sponsorship not specified$180k-$215kDetected 25 days ago

PythonC++Full-Stack DevelopmentMachine LearningDeep LearningTensorFlowPyTorchNLPStatisticsRoboticsResearchCommunication

About the role

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments.
If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place.
Your contributions will directly shape how we scale - through advances in model architecture, training methodologies, and deployment strategies.

You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking.
Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world.
Architect and implement full-stack end-to-end navigation solutions, covering perception, prediction, and planning.
Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world.

Bachelor's or Master's degree in Computer Science, AI, Statistics, or a related field, with 4+ years of industry experience.

Explore novel data generation and collection pipelines to enrich training datasets.
Continuously monitor models in production, detecting model drift, and automating retraining processes as applicable
Troubleshoot issues related to model deployment, performance, and system integration.
Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX, alongside working knowledge of C++ for deployment and system integration.
Proven track record deploying ML models into production environments, ideally within robotics, self-driving, or NLP.

Our salary range is generous and we consider each individual's background and experience when determining final compensation.

Machine Learning modeling
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.
Assist with deploying machine learning models into production environments
Deep understanding of contemporary deep learning architectures, optimization, and evaluation, with a strong grasp of end-to-end navigation stack components - including perception, prediction, and path/motion planning.

This listing is sourced directly from FieldAI's careers page and normalized into a canonical job model.