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 contribute to the design and development of machine learning and AI capabilities for True Anomaly. Working alongside experienced engineers, you will support the development of models and pipelines that enable object classification, anomaly detection, and data-driven decision-making. You are curious, driven, and eager to grow — someone who takes ownership of their work and isn't afraid to tackle hard problems.</p> <p><strong>RESPONSIBILITIES</strong></p> <ul> <li>Assist in the development, training, and evaluation of ML models across a range of mission-relevant tasks</li> <li>Support data ingestion, preprocessing, and feature engineering pipelines</li> <li>Run experiments, track results, and contribute to model evaluation and iteration</li> <li>Write clean, documented, and testable Python code as part of a collaborative engineering team</li> <li>Learn and grow alongside senior engineers, contributing meaningfully from day one</li> </ul> <p><strong>QUALIFICATIONS</strong></p> <ul> <li>Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline</li> <li>Proficient in Python</li> <li>Foundational understanding of machine learning concepts including sup