Staff Machine Learning Engineer, Pinterest

Ads Ranking

$148-304.5k

+ Equity

Senior and Expert level
San Francisco Bay Area

More information about location

Office located in Palo Alto, CA

Pinterest

Visual bookmarking tool for saving & discovering creative ideas

Open for applications

Pinterest

Visual bookmarking tool for saving & discovering creative ideas

1001+ employees

B2BLifestyleSocialDigital MediaSocial MediaAdvertising

Open for applications

$148-304.5k

+ Equity

Senior and Expert level
San Francisco Bay Area

More information about location

Office located in Palo Alto, CA

1001+ employees

B2BLifestyleSocialDigital MediaSocial MediaAdvertising

Company mission

To bring everyone the inspiration to create a life they love.

Role

Who you are

  • MS or PhD degree in Computer Science, Statistics or related field
  • 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  • 2+ years of experience leading projects/teams
  • Strong mathematical skills with knowledge of statistical methods
  • Cross-functional collaborator and strong communicator
  • Background in computational advertising is preferred, but not required

What the job involves

  • Within the Ads Ranking team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners
  • In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for Ads Ranking, including Lightweight Ranker, Engagement Modeling, and Conversion Modeling
  • You will work on tackling new challenges in Ads Ranking, such as user sequence modeling, large models, embedding features, model quantization, utility alignment, application of LLM and multi-modal models, as well as domain-specific challenges like next-gen lightweight ranking beyond two-tower architecture, quota allocation, new engagement type modeling, RoAS optimization and many more to advance the ML models that power the ads ranking stage and delivery that bring together pinners and partners in this unique marketplace
  • Be responsible for the development of state-of-the-art applied machine learning projects for one of the 3 modeling problems in ads ranking: lightweight ranker, engagement modeling and conversion modeling
  • Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  • Develop new techniques for inferring user interests from online and offline activity
  • Mine text, visual, user signals to better understand user intention
  • Work with product and sales teams to design and implement new ad products

Our take

Inspiration and ideas can pop into your head at any time, and with the growth of social media and networking, sharing these interests and gaining exposure has never been easier. Pinterest exists to display these moments visually, as a kind of digital pinboard allowing users to save and share digital images which have inspired them.

Pinterest's emphasis on visual discovery has differentiated it from competitors and created a more positive and fulfilling experience for its users. Pinterest in many ways provides a respite from the ceaseless negativity that plagues social media such as Facebook and Twitter, and this is perhaps responsible for its userbase expanding to 450 million users in 2022, driven by uptake mostly outside of North America.

Pinterest has not been immune to woes affecting the global tech sector and made about 5% of its workforce redundant at the end of 2022 and the start of 2023. Having restructured to face a challenging climate, it is well-positioned to resume its growth, which has increased consistently year on year. Its immediate goals are to continue to grow its user base and expand the uptake of its short video product, which it aims to monetize.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Few candidates hear
back within 2 weeks

9% employee growth in 12 months

Company

Company HQ

SoMa, San Francisco, CA

Leadership

Worked as a Product Specialist at Google for 2 years before leaving to work on his own apps, which led to founding Pinterest


People progressing

Joined as Marketing Lead, promoted to Head of Growth Ops for English-speaking markets after 3 years. They've have since been promoted to Global Head of Editorial, a position they started in 2022.

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