Senior Machine Learning Engineer - United States - Remote

<div class="trix-content"> <div> <strong>Job Title:</strong> Senior Machine Learning Engineer<br><strong>Location:</strong> United States (Remote)<br><br><strong>JD in One Line<br></strong><br> </div><div>Own recommendation, search, ranking, retrieval, and discovery for a consumer content ecosystem.<br><br> </div><div> <strong>What You Will Own<br></strong><br> </div><ul> <li> Build recommendation and search across feed, discovery, search, and content continuation. </li> <li> Own retrieval and ranking systems, including candidate generation, embeddings, two-tower models, feature engineering, and serving quality. </li> <li> Design, launch, and analyze recommendation and search experiments. </li> </ul><div> <strong>Requirements<br></strong><br> </div><ul> <li> 5+ years of industry experience building production ML systems with senior-level ownership. </li> <li> Hands-on experience with recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems. </li> <li> Experience working on consumer applications, entertainment, social media, gaming, creator platforms, or other engagement-driven products. </li> <li> Strong knowledge of two-tower models, embedding retrieval, candidate generation, ranking systems, and online/offline evaluation. </li> </ul><div> <strong>Hard Filters<br></strong><br> </div><ul> <li> 5+ years of industry experience building production ML systems with senior-level ownership. </li> <li> Hands-on experience with recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems. </li> <li> Experience with consumer applications, entertainment, social, gaming, creator, or engagement-driven products. </li> <li> Expertise in two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation. </li> <li> Fluency in Chinese (Mandarin) is required. </li> </ul><div> <strong>Strong Fit<br></strong><br> </div><ul> <li> Built recommendation and search systems across feed, discovery, search, and content continuation. </li> <li> Owned retrieval and ranking systems, including candidate generation, embeddings, two-tower models, features, and serving quality. </li> <li> Designed, launched, and analyzed recommendation/search experiments. </li> </ul><div> <strong>Bonus Signals<br></strong><br> </div><ul> <li> 5+ years of production ML experience. </li> <li> Strong background in recommendation systems. </li> <li> Experience with search ranking. </li> <li> Experience with embedding retrieval. </li> </ul><div> <strong>Anti-Signals<br></strong><br> </div><ul> <li> Cannot demonstrate core Senior Machine Learning Engineer experience focused on recommendation systems. </li> <li> Not comfortable with the specified remote work arrangement. </li> <li> Primarily coordination-focused with limited technical ownership or no shipped production examples. </li> </ul><div> <strong>Interview Process<br></strong><br> </div><ul> <li> Initial recruiter screen. </li> <li> Senior Machine Learning Engineer (Recommendation) technical/product deep dive. </li> <li> Team/founder conversation. </li> </ul><div> <strong>Culture<br></strong><br> </div><ul> <li> AI-native, fast-paced startup environment with strong ownership expectations. </li> <li> Focus on building consumer AI products at the intersection of AI, social, mobile, and interactive entertainment. </li> <li> Looking for engineers who ship quickly, learn from users, and take end-to-end ownership.</li> </ul> </div>