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Manager II, Machine Learning Engineering, Privacy Preserving Ads Optimization

Pinterest · San Francisco, États-Unis d'Amérique · Hybrid

$208,145.00  -  $364,254.00

  • Senior
  • Bureau à San Francisco
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About Pinterest:

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. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, we connect Pinners with products and ideas they love. Within the Ads Conversion Modeling team, we focus on building innovative machine learning solutions that measure and optimize the effectiveness of advertising, respecting user privacy choices.

In this role, you will be guiding the technical directions, leading the development, and advancing the state-of-the-art ML solutions that power conversion measurement and optimization. You will influence and collaborate with cross-functional teams to drive innovation in privacy preserving ML techniques and build performance focused ads optimization systems.

 

What you'll do:

  • Lead projects that involve developing and deploying state-of-the-art (and beyond) ML models in production advertising systems, with a focus on conversion modeling and measurement.
  • Collaborate and partner with cross-functional teams across the company to help define and drive forward-looking ML strategy for privacy preserving conversion modeling and optimization.
  • Be hands-on and develop models and systems that lead to step-function improvements to our topline metrics
  • Mentor and grow junior ML engineers in the team and partner teams and help to uplevel ML talent across the organization

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, Ads Ranking and related products.
  • 2+ years of experience as TLM or EM managing engineering teams
  • Strong software engineering and mathematical skills with knowledge of machine learning
  • Hands-on experience with large-scale online ranking/recommendation systems.
  • Experience with Ads domain is a plus, especially privacy preserving modeling.

 

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration once per week, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

 

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
$208,145—$364,254 USD

Our Commitment to Inclusion:

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.