<div><p><strong>About Pinterest:</strong></p> <p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p> <p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p></div><p>Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team’s mission is to recommend inspiring &amp; engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. Youll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.</p> <p> </p> <p><strong>What youll do:</strong></p> <ul> <li>Improve relevance and the user experience on Homefeed</li> <li>Work on state-of-the-art large-scale applied machine learning projects</li> <li>Improve the efficiency and reliability of large-scale data processing and ML inference pipeline</li> <li>Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost</li> </ul> <p> </p> <p><strong>What were looking for:</strong></p> <ul> <li>Languages: Python, Java</li> <li>Machine Learning: PyTorch, Tensorflow</li> <li>Big data processing: Spark, Hive, MapReduce</li> <li>7+ years experience with Recommender system or User modeling, implementing production ML systems at scale</li> <li>7+ years experience with large scale distributed backend service</li> <li>Experience in working in Deep learning and Generative AI models</li> <li>Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product </li> <li>Bachelors in computer science or equivalent experience</li> </ul> <p> </p> <p><strong>Relocation Statement:</strong></p> <ul> <li>This position is not eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/"><span>PinFlex</span></a> page to learn more about our working model.</li> </ul> <p> </p> <p><strong>In-Office Requirement Statement:</strong></p> <ul> <li>We let the type of work you do guide the collaboration style. That means were not always working in an office, but we continue to gather for key moments of collaboration and connection.</li> <li>This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.</li> </ul> <p> </p> <p>#LI-REMOTE</p> <p><span>#LI-DM57</span></p><div><div><div><p>At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</p> <p><em><span>Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>.</span></em></p></div><div>US based applicants only</div><div><span>$176,924</span><span>—</span><span>$364,254 USD</span></div></div></div><div><p><strong>Our Commitment to Inclusion:</strong></p> <div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support. <div> </div> </div></div>

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Sr. Staff Machine Learning Engineer, Homefeed

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