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Manager II, Machine Learning Engineering, Ads Signals

Pinterest · San Francisco, Estados Unidos Da América · Hybrid

$208,145.00  -  $364,254.00

  • Professional
  • Escritório em 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.

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. You will lead a group of ML talents to innovate our representation learning and model pre-training techniques, leveraging sequence/graph and cross domain datasets. These will further power our ranking and retrieval models to improve ads performance. In short, this is a unique position, where you’ll get the freedom to chart your own journey and advance Pinterest ML with state of the art techniques.

 

What you’ll do:

  • Provide technical vision and define the long-term roadmap in representation learning and model pre-training areas.
  • Stay informed of emerging ML research and industry trends, identify relevant techniques, and inspire the team in evaluating and incorporating these approaches.
  • Oversee the model and signal development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.
  • Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence.
  • Collaborate with cross functional application teams, enable teams to do cross functional work with engineers from ranking/retrieval and ML infra teams.

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/Retrieval or Representation Learning domains.
  • 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.

 

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.