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Pinterest is hiring a

Staff Machine Learning Engineer, Ads Signals

San Francisco, United States

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. 

The Ads Signal team builds ML signals to improve advertising performance and solve various business problems. The team is responsible for developing and innovating ML signals, integrating them to production models, and building toolings to improve signal development lifecycle. The team closely works with retrieval and ranking stakeholders and significantly contributes to ads performance improvement. Our work leverages a variety of technologies to better understand user and ad representations to improve ad performance, including graph representation learning, sequence modeling, realtime processing etc.

What you’ll do:

  • Research and apply cutting edge ML techniques to improve feature processing in ranking/retrieval models, develop techniques to better transfer feature/label information cross-domain. 
  • Be hands-on and develop models and systems that lead to step-function improvements in ads performance.
  • Work with a diverse group of engineers, collaborate with cross functional mo to understand gaps/opportunities, push adoption of new signals/technologies across multiple components in ads delivery funnel.
  • Serve as a technical mentor to team members, setting an example for best practices and impact.

What we’re looking for:

  • MS or PhD degree in Computer Science, Statistics or related field
  • 6+ years of industry experience with related background in Recommender Systems, Monetization, and Ads Delivery funnel (Ads Ranking and/or Ads Retrieval) domains.
  • Strong software engineering and mathematical skills with knowledge of machine learning
  • Hands-on experience with large-scale online recommendation/ads systems.

 

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

 

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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
$196,110—$342,844 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 complete this form for support.
 
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