Senior Machine Learning Engineer

<div class="content-intro"><p class="ms-outlook-mobile-reference-message">Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.</p> <p class="ms-outlook-mobile-reference-message"><u>OUR MISSION</u></p> <p class="ms-outlook-mobile-reference-message">True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.</p> <p class="ms-outlook-mobile-reference-message"><u>OUR VALUES</u></p> <ul> <li class="ms-outlook-mobile-reference-message"><strong>Be the offset.</strong><span class="Apple-converted-space"> </span>We create asymmetric advantages with creativity and ingenuity.</li> <li class="ms-outlook-mobile-reference-message"><strong>What would it take?</strong> We challenge assumptions to deliver ambitious results.</li> <li class="ms-outlook-mobile-reference-message"><strong>It’s the people.</strong> Our team is our competitive advantage and we are better together.</li> </ul></div><p><u>YOUR MISSION</u></p> <p>As a member of the Applied Algorithms and Autonomy team, you will design, build, and deploy core machine learning and AI capabilities for True Anomaly. You will work with a talented cross-functional team to advance technology at the intersection of artificial intelligence, machine learning, and data-driven decision-making. This will involve hands-on development across areas including object classification and discrimination, anomaly detection, and threat assessment. You are a first-principles engineer who takes ownership of the systems you build and delivers results.</p> <p><strong>RESPONSIBILITIES</strong></p> <ul> <li>Design, implement, and test ML/AI models that support threat assessment, object discrimination, and decision-making in operationally relevant environments</li> <li>Own the full ML development lifecycle — from data ingestion and feature engineering through model training, evaluation, and production deployment</li> <li>Collaborate with cross-functional teams to translate operational requirements into robust, production-ready ML capabilities</li> <li>Establish and maintain rigorous model evaluation practices to ensure reliability and performance in real-world conditions</li> <li>Write clean, well-documented, and testable code in support of AI/ML capabilities</li> </ul> <p><strong>QUALIFICATIONS</strong><