Agentic AI​/ML Engineer, Multimodal

Field

AI’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.

Field AI is transforming how robots interact with the real world. We are building risk‑aware, reliable, and field‑ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data‑driven approaches or pure transformer‑based architectures, and are charting a new course, with already‑globally‑deployed solutions delivering real‑world results and rapidly improving models through real‑field applications.

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Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team, our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. The Field‑insight Foundation Model (FiFM) is at the core of how we transform multimodal data from autonomous robots into actionable insights.

As an AI/ML Engineer on the FiFM team, you will drive research and model development for one of Field AI’s most ambitious initiatives. Your work will span computer vision, vision‑language models (VLMs), multimodal scene understanding, and long‑memory video analysis and search, with a strong emphasis on agentic AI (tool use, memory, multimodal retrieval‑augmented generation). This is a full‑cycle ML role: you’ll curate datasets, fine‑tune and evaluate models, optimize inference, and deploy them into production.

It’s a blend of applied research and engineering, requiring creativity, rapid experimentation, and rigorous problem‑solving. While FiFM is your primary focus, you’ll also contribute to broader perception and insight‑generation initiatives across Field AI.

• Drive research and model development for computer vision, vision‑language models, multimodal scene understanding, and long‑memory video analysis and search.
• Curate datasets, fine‑tune and evaluate models, optimize inference, and deploy models into production.
• Contribute to broader perception and insight‑generation initiatives across Field AI.

• Work where the robots are; build and test systems on real hardware with real sensors.
• Collaborate with a world‑class team of experts from Deep Mind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and Space
  
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• Salary range is generous and considered based on role scope, location, and individual experience.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.