<div><b style="font-size: 11pt;">Who are We?</b></div><div><br></div><div><b style="font-size: 11pt;">Field AI is transforming how robots interact with the real world.</b><span style="font-size: 11pt;"> 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.&nbsp;Learn more at </span><a rel="noopener noreferrer" class="postings-link" style="font-size: 11pt;" href="https://fieldai.com">https://fieldai.com</a><span style="font-size: 11pt;">.</span></div><div><br></div><div><b style="font-size: 11pt;">About the Job</b></div><div><br></div><div><span style="font-size: 11pt;">Our </span><b style="font-size: 11pt;">Field Foundation Model (FFM)</b><span style="font-size: 11pt;"> powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the </span><b style="font-size: 11pt;">Insight Team</b><span style="font-size: 11pt;"> our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. </span><b style="font-size: 11pt;">Field-insight Foundation Model (FiFM)</b><span style="font-size: 11pt;"> is at the core of how we transform multimodal data from autonomous robots into actionable insights. As an </span><b style="font-size: 11pt;">AI/ML Engineer</b><span style="font-size: 11pt;"> on the FiFM team, you will drive </span><b style="font-size: 11pt;">research and model development</b><span style="font-size: 11pt;"> for one of Field AI’s most ambitious initiatives. Your work will span </span><b style="font-size: 11pt;">computer vision, vision-language models (VLMs), multimodal scene understanding, and long-memory video analysis and search</b><span style="font-size: 11pt;">, with a strong emphasis on </span><b style="font-size: 11pt;">agentic AI</b><span style="font-size: 11pt;"> (tool use, memory, multimodal retrieval-augmented generation).This is a </span><b style="font-size: 11pt;">full-cycle ML role</b><span style="font-size: 11pt;">: you’ll curate datasets, fine-tune and evaluate models, optimize inference, and deploy them into production. It’s a blend of </span><b style="font-size: 11pt;">applied research and engineering</b><span style="font-size: 11pt;">, requiring creativity, rapid experimentation, and rigorous problem-solving. While FiFM is your primary focus, you’ll also contribute to broader </span><b style="font-size: 11pt;">perception and insight-generation initiatives</b><span style="font-size: 11pt;"> across Field AI.</span></div>

1.68 Agentic AI/ML Engineer - Multimodal

<div><b style="font-size: 11pt;">Who are We?</b></div><div><br></div><div><b style="font-size: 11pt;">Field AI is transforming how robots interact with the real world.</b><span style="font-size: 11pt;"> 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.&nbsp;Learn more at </span><a rel="noopener noreferrer" class="postings-link" style="font-size: 11pt;" href="https://fieldai.com">https://fieldai.com</a><span style="font-size: 11pt;">.</span></div><div><br></div><div><b style="font-size: 11pt;">About the Job</b></div><div><br></div><div><span style="font-size: 11pt;">Our </span><b style="font-size: 11pt;">Field Foundation Model (FFM)</b><span style="font-size: 11pt;"> powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the </span><b style="font-size: 11pt;">Insight Team</b><span style="font-size: 11pt;"> our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. </span><b style="font-size: 11pt;">Field-insight Foundation Model (FiFM)</b><span style="font-size: 11pt;"> is at the core of how we transform multimodal data from autonomous robots into actionable insights. As a </span><b style="font-size: 11pt;">Senior Machine Learning Platform Engineer</b><span style="font-size: 11pt;">, you will </span><b style="font-size: 11pt;">own the infrastructure that powers FiFM</b><span style="font-size: 11pt;">, from model hosting and distributed training pipelines to data systems, observability, and </span><a rel="noopener noreferrer" class="postings-link" style="font-size: 11pt;" href="http://security.This">security.This</a><span style="font-size: 11pt;"> is a role at the intersection of systems engineering and machine learning. You’ll </span><b style="font-size: 11pt;">design and operate large-scale ML platforms</b><span style="font-size: 11pt;">, ensure FiFM transitions smoothly from research into production, and optimize for both performance and cost across cloud and edge. In addition to building core infrastructure, you’ll play a leadership role by </span><b style="font-size: 11pt;">mentoring junior engineers, setting technical direction, and raising the engineering bar</b><span style="font-size: 11pt;"> across the team.</span></div>

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