Manager II, Machine Learning Engineering - Ads Engagement Core Modeling

Pinterest
relocation assistance
United States, Washington, Seattle
1099 Stewart Street (Show on map)
Nov 15, 2024
About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love.In your role, you'll be challenged to take on work that upholds this mission and pushes Pinterest forward. You'll grow as a person and leader in your field, all the while helpingPinnersmake their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that's uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. Pinterest is one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers / products. In this role, we're looking for an Engineering Manager with experience in machine learning, data mining, recommender systems to lead a team that develop and execute a vision for the evolution of the machine learning technology stack for ads engagement models. You will be leading a world-class ML team on tackling new challenges such as large CTR models, user sequence modeling, representation learning embeddings, new ads engagement objective modeling, and many more to advance the ML models that power the ads engagement and delivery that bring together pinners and partners in this unique marketplace. What you'll do: Manage and grow the engineering team, providing technical vision and long-term roadmap. Design features and build large-scale machine learning models to improve ads engagement prediction Effectively collaborate and partner with several cross functional teams to build the next generation of ads engagement models Mentor and grow ML engineers to allow them to become experts in ads engagement modeling and prediction What we're looking for: M.S or PhD degree in Computer Science, Statistics or related field 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing 1-2 years of experience managing engineering teams as a TLM or EM leading projects/ teams either as TL/ TLM/ EM Cross-functional collaborator and strong communicator Experience with ads domain is a big plus Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-HYBRID #LI-SM4 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. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $174,175 — $304,496 USD Our Commitment to Diversity: 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 completethis formfor support.