Job Location : Seattle,WA, USA
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.
Role Overview:
Within the Ads Performance team, we aim to connect the aspirations of Pinners with the products offered by our partners. In this role, you will develop and execute a vision for the evolution of the machine learning technology stack for Ads Ranking, including Candidate Generation, Lightweight Ranker, Engagement Modeling, and Conversion Modeling. You will tackle new challenges such as user sequence modeling, large models, embedding features, model quantization, utility alignment, application of LLM and multi-modal models, and domain-specific challenges like next-gen lightweight ranking beyond two-tower architecture, quota allocation, new engagement type modeling, RoAS optimization, among others, to enhance the ML models powering ads ranking and delivery.
What you'll do:
What we're looking for:
This position is not eligible for relocation assistance.
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Additional Information:
We believe the workplace should be equitable, inclusive, and inspiring. The salary range for this position is $176,924—$364,254 USD, based on experience, location, and other factors. The position is also eligible for equity.
For more about Pinterest's culture and benefits, click here
US-based applicants only.
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, disability, or other protected characteristics. Support for accommodations is available during the application process.
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