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 helping Pinners make 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.

Within the Ads Ranking team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for Ads Ranking, including Lightweight Ranker, Engagement Modeling, and Conversion Modeling. You will work on tackling new challenges in Ads Ranking, such as user sequence modeling, large models, embedding features, model quantization, utility alignment, application of LLM and multi-modal models, as well as domain-specific challenges like next-gen lightweight ranking beyond two-tower architecture, quota allocation, new engagement type modeling, RoAS optimization and many more to advance the ML models that power the ads ranking stage and delivery that bring together pinners and partners in this unique marketplace.

What you’ll do:

Be responsible for the development of state-of-the-art applied machine learning projects for one of the 3 modeling problems in ads ranking: lightweight ranker, engagement modeling and conversion modeling
Design features and build large-scale machine learning models to improve user ads action prediction with low latency
Develop new techniques for inferring user interests from online and offline activity
Mine text, visual, user signals to better understand user intention
Work with product and sales teams to design and implement new ad products

What we’re looking for:

MS 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
2+ years of experience leading projects/teams
Strong mathematical skills with knowledge of statistical methods
Cross-functional collaborator and strong communicator
Background in computational advertising is preferred, but not required

This position is not eligible for relocation assistance.

#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

$148,049—$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 an accommodation during the job application process, please notify [email protected] for support.

Staff Machine Learning Engineer, Monetization Engineering

Popular searches