Sr. Machine Learning Engineer, Core Engineering

<div class="content-intro"><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><span style="font-weight: 400;">With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.</span></p> <p> </p> <p><strong>What you’ll do:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Use data driven methods and leverage the unique properties of our data to improve candidates retrieval</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Work in a high-impact environment with quick experimentation and product launches</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Keeping up with industry trends in recommendation systems </span></li> </ul> <p> </p> <p><strong>What we’re looking for:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)</span></li> <li><span style="font-weight: 400;">Degree in computer science, machine learning, statistics, or related field</span></li> <li><strong>Nice to have:</strong> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Publications at top ML conferences</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Expertise in scalable realtime systems that process stream data</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Passion for applied ML and the Pinterest product</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.</span></li> </ul> </li> </ul> <p> </p> <p class="p1"><strong>Relocation Statement:</strong></p> <ul> <li class="p1">This position is not eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/"><span class="s1">PinFlex</span></a> page to learn more about our working model.</li> </ul> <p> </p> <p>#LI-SA1</p> <p>#LI-REMOTE</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>At Pinterest we believe the workplace should ... (truncated, view full listing at source)