- 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.
- 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
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Sr. Machine Learning Engineer, Ads Marketplace - San Francisco, United States - Pinterest
Description
What you'll do:
What we're looking for:
This position is not eligible for relocation assistance.
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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.