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Staff Machine Learning Engineer, Ads Ranking - Palo Alto, CA, United States - Pinterest
Description
Millions of people across the world come to Pinterest to find new ideas every day. Our mission is to help those people find their inspiration and create a life they love.You'll grow as a person and leader in your field, all the while helpingPinnersmake their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that's uniquely Pinterest to describe our flexible approach to living and working.
In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads Ranking.
You will work on tackling new challenges in machine learning and deep learning to advance the statistical models that power the ads engagement 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 ads rankingDesign features and build large-scale machine learning models to improve user ads onsite engagement prediction
Develop new techniques for inferring user interests from online activity
Mine text, visual, user signals to better understand user intention
MS or PhD degree in Computer Science, Statistics or related field
~7+ 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
~ Relocation Statement:
This position is not eligible for relocation assistance.
Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Our Commitment to Diversity:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notifyfor support.#
