About this opportunity
Pinterest lists this Sr. Machine Learning Engineer, Ads Marketplace opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
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.
Within the Monetization Engineering team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. In this role, you will build systems that improve the ads delivery funnel, design experiments that shape the utility function, auction mechanism design, ad allocation and grow business insights through analysis of the marketplace dynamics. You will work closely with product managers, data scientists, designers and engineers across the company to deliver pinner facing ads products end-to-end. In short, this is a unique position, where you’ll get the freedom to work to bring together pinners and partners in this unique marketplace and have a material impact on the business.
What you’ll do:
Build and improve the ads marketplace to optimize value for Pinners, Partners and Pinterest.
Apply state-of-art machine learning techniques to improve ads format triggering, ads ranking and selection. Drive value via the ads marketplace systems for bidding, budgeting, ad ranking, tuning, pricing, ad allocation and placement.
Work with designers, product managers, data scientists to design and deliver end-to-end pinner facing ads products that directly move the bottom line for Pinterest.
Design, implement and launch A/B experiments to improve the overall ads marketplace.
What we’re looking for:
MS or PhD degree in Computer Science, Machine Learning or related field
4+ years of industry experience
Strong software engineering, mathematical and analytical skills
Hands-on experience with model offline development and online serving
Hands-on experience with large-scale online e-commerce systems is preferred
Interest and ability in understanding the full ads funnel from bidding and budgeting systems all the way to ads retrieval and allocation to find areas of improvement and deliver value for the business.
Impact driven and business focussed.
Strong ads domain knowledge and prior ads experience is a major plus.
More specifically, prior ads auction/marketplace or budgeting / pacing experience is preferred
Strong communicator and collaborative team player
This position is not eligible for relocation assistance.
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
$147,800—$258,470 USD
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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.