Machine Learning Engineer

<div class="content-intro"><h3>ABOUT US</h3> <p>E-commerce got real-time data infrastructure decades ago. Physical stores still have not. RADAR is changing that.<br><br>RADAR is building the data infrastructure layer for the physical world, starting with retail. Our hardware-enabled SaaS platform uses proprietary overhead sensors, software, and AI-powered analytics to locate every product in a store, continuously, down to the fixture. We are deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale.<br><br>RADAR is one of the best-funded companies in retail technology, backed by a recent Series B financing at a $1 billion valuation. Inventory accuracy is only the beginning. We believe RADAR can become foundational infrastructure for the physical economy, powering new AI-driven commerce experiences across retail and beyond.<br><br>Join us if you want to work on a large, unsolved, technically challenging problem with an ambitious team building category-defining technology.</p> <h4>OUR VALUES</h4> <ul> <li>Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.</li> <li>Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together.</li> <li>High Impact: You’ll make meaningful contributions from day one and help shape the future of our product and company.</li> <li>Clear Communication: We value honesty, humility, and respectful dialogue—everyone’s voice matters.</li> <li>Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.</li> <li>Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints.</li> <li>Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.</li> </ul></div><h3><strong>ABOUT THE JOB</strong></h3> <p>We are looking for a Machine Learning Engineer to help build and develop our ML capabilities at RADAR. The role requires extensive collaboration with teams and functions across the company ranging from product and customer success to engineering, data science and research.</p> <p><strong><em>This is a hybrid role based in our Sunnyvale, CA location with a flexible hybrid work schedule of 2-3 days in the office. </em></strong></p> <h4><strong>Responsibilities:</strong></h4> <ul> <li><strong>Build and scale ML infrastructure:</strong> Design and maintain scalable, reliable and efficient pr