Principal Machine Learning Researcher (Physical AI)

<h2><span style="font-size: 14pt;">PRINCIPAL MACHINE LEARNING RESEARCHER (PHYSICAL AI)</span></h2> <p class="x_MsoNormal"><span data-olk-copy-source="MessageBody">Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.</span></p> <p><span data-contrast="auto">This architecture enables continuous generation of petabyte-scale, high-fidelity data capturing the physics of metal printing&nbsp;-&nbsp;from in-situ process signals and machine state to geometry and material outcomes. Each factory node contributes to a growing learning system that improves modeling accuracy, control performance, yield, and scalability over time.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}">&nbsp;</span></p> <p><span data-contrast="auto">Freeform is hiring a Principal Machine Learning Researcher to&nbsp;lead the development of advanced&nbsp;learning and control problems in a production-scale, AI-native metal manufacturing system.&nbsp;The role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy frameworks. Work includes modeling relationships between process inputs, geometry, and machine state to predict thermal, mechanical, and geometric outcomes during printing, using hybrid physics–ML approaches and multi-modal in-situ data.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}">&nbsp;</span></p> <p><span data-contrast="auto">Research is&nbsp;validated&nbsp;against physical outcomes and deployed into production systems, where improvements directly&nbsp;impact&nbsp;stability, yield, throughput, and capability across an expanding fleet of manufacturing nodes.&nbsp;Your work will have a direct and meaningful impact&nbsp;on how frontier technologies are designed and produced at scale.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}">&nbsp;</span></p> <p><iframe style="width: 560px; height: 315px;" src="https://www.youtube.com/embed/sXfG6ssZ190?feature=shared" width="327" height="184"></iframe></p> <p><strong>Responsibilities:</strong></p> <ul> <li><span data-