Staff Machine Learning Engineer, Monetization

| San Francisco, CA, USA | Remote
Employer Provided Salary: 148,049-304,496 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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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. 

On this team, we work on building products that solve advertiser problems that either fall outside of the typical stages of ads delivery or that span across many of the stages. As part of the team you will identify, design and implement systems and models that broadly improve the ads delivery funnel or power products that reduce friction for advertisers and ad sales. In short, this is a unique position, where you’ll get the freedom to chart your own journey and where you’ll get the opportunity to dive deep into many areas of ads. The team owns the development of ML products in the media planning and advertiser growth areas as well as the opportunity to define whole new areas of ML driven products, e.g. LLM/GenAI based ones


What you’ll do:

  • Identify advertiser problems, analyze existing data to highlight the problem and opportunity size and propose and implement novel solutions.
  • Build and improve machine learning models and backend systems that underlay ads delivery and advertiser interfaces to maximize value for Pinners, Partners and Pinterest.
  • Run ad delivery experiments that either explore advertiser problems or that validate your solutions to said problems.
  • Drive multi-functional collaboration with peers and partners across the company to identify and solve advertiser problems that stretch across many areas.


What we’re looking for:

  • MS or PhD degree in Computer Science, Statistics or related field.
  • 6+ years of industry experience.
  • 2+ years of experience leading projects/teams.
  • Strong software engineering and mathematical skills with knowledge of machine learning.
  • Hands-on experience with large-scale online e-commerce systems is a plus.
  • Background in computational advertising.



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

$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.

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Location

651 Brannan St, San Francisco, 94107

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