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Staff Software Engineer, Ads ML Infra - Pinterest

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Job Title
Staff Software Engineer, Ads ML Infra
Job Location
San Francisco, CA; Palo Alto, CA; Seattle, WA
Job Description

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. 

Pinterest is one of the fastest growing online advertising platforms. Continued success depends on the machine-learning systems, which crunch thousands of signals in a few hundred milliseconds, to identify the most relevant ads to show to pinners. You’ll join a talented team with high impact, which designs high-performance and efficient ML systems, in order to power the most critical and revenue-generating models at Pinterest.

What you’ll do

  • Be the technical leader of the Ads ML foundation evolution movement to scale 2x Pinterest revenue and 5x ad performance in the next 3 years.
  • Have the opportunities to use cutting edge ML technologies including GPU, LLMs, vector search and data processing systems to empower 100x bigger models in next 3 years. 
  • Tackle a variety of ambiguous problems and you will be tasked with building 0 to 1 solutions for all of them.

What we’re looking for:

  • BS (or higher) degree in Computer Science, or a related field.
  • 8+ years of relevant industry experience in leading the design of large scale & production ML infra systems.
  • Deep knowledge with at least one state-of-art programming language (Java, C++, Python). 
  • Deep knowledge with building distributed systems or recommendation infrastructure
  • Hands-on experience with at least one modeling framework (Pytorch or Tensorflow). 
  • Hands-on experience with model / hardware accelerator libraries (Cuda, Quantization)
  • Strong communicator and collaborative team player.

This position is not eligible for relocation assistance.

#LI-CL5 

#LI-HYBRID

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 accessibility@pinterest.com for support.

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Pinterest Headquarters Location

San Francisco, CA

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Pinterest Company Size

Between 3,987 - 3,987 employees

Pinterest Founded Year

2010

Pinterest Total Amount Raised

$1,486,099,840

Pinterest Funding Rounds

View funding details
  • IPO

    $0

  • Series Unknown

    $20,000,000 USD

  • Series Unknown

    $150,000,000 USD

  • Series G

    $186,000,000 USD

  • Series G

    $367,000,000 USD

  • Series F

    $200,000,000 USD

  • Series E

    $225,000,000 USD

  • Series D

    $200,000,000 USD

  • Series C

    $100,000,000 USD

  • Series B

    $27,000,000 USD

  • Series A

    $10,000,000 USD

  • Angel

    $500,000 USD

  • Seed

    $600,000 USD