Overview 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. Pinterest's mission is to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. With more than 570 million users and 300 billion ideas saved, Pinterest Machine Learning engineers help build personalized experiences to help Pinners create a life they love. Pinterest employs just over 3,000 global employees, offering hands-on access to a vault of data and contribution to large-scale recommendation systems. By applying to this role, you will be considered for multiple roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. This is a general posting for multiple roles open across our various ML teams. You will have the opportunity to work on a very large scope of problems in recommender systems, search, ads, ranking, natural language processing, graph representation learning, personalization, etc. As a Machine Learning Engineer at Pinterest, you will tackle new challenges in machine learning and artificial intelligence. You will join our engineering teams as we scale and build products and features, create visually rich experiences, spearhead discovery, and address tomorrow's engineering challenges. What you’ll do Contribute to cutting-edge research in machine learning and artificial intelligence applied to Pinterest problems Collect, analyze, and synthesize findings from data and build intelligent data-driven models Write clean, efficient, and sustainable code Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search Design, build, and test models to predict engagement for notifications (push, emails, in-app) Build content recommendation systems to power push, email, and in-app notifications Work on state-of-the-art large-scale applied machine learning projects Scope and independently solve moderately complex problems What we’re looking for PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field required Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval, etc.) Proficiency in at least one systems language (Java, C++, Python) or one ML framework (TensorFlow, PyTorch, MLFlow) Experience with big data technologies (e.g., Hadoop/Spark) and scalable real-time systems that process streaming data Experience in research and in solving analytical problems Strong communicator and team player with the ability to find solutions for open-ended problems Preferred Qualifications: Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields Interest in research and applying ML to impactful real-world problems on the Pinterest product

In-Office Requirement We let the type of work guide the collaboration style; this role may require you to be located near an office for in-person collaboration and may need to be within commuting distance of a Pinterest office. #LI-HYBRID #LI-EB1 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. We are sharing the base salary range for this position; the role is eligible for equity. Final salary is based on location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $162,690 — $214,060 USD Our Commitment to Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. 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, protected veteran status, physical or mental disability, medical condition, genetic information or characteristics, or any other consideration made unlawful by applicable laws. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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