Sr. Machine Learning Engineer
Ads Marketplace
Posted on 3/16/2024

5,001-10,000 employees

Visual discovery engine for finding ideas
Company Overview
Pinterest stands out as a unique platform that harnesses the power of visual discovery, offering an extensive dataset of over 200 billion ideas, making it a treasure trove for those seeking inspiration in various aspects of life. The company's culture is rooted in creativity and inclusivity, fostering an environment where over 430 million global users can explore, plan, and actualize their dreams. With its unique blend of technology and creativity, Pinterest has positioned itself as a leader in the social media industry, providing a distinct and personalized user experience that sets it apart from competitors.
AI & Machine Learning
Consumer Goods
Data & Analytics

Company Stage


Total Funding





San Francisco, California

Growth & Insights

6 month growth


1 year growth


2 year growth

Palo Alto, CA, USA • Seattle, WA, USA • San Francisco, CA, USA
Experience Level
AI & Machine Learning
Applied Machine Learning
  • 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
  • Prior ads auction/marketplace or budgeting / pacing experience is preferred
  • Strong communicator and collaborative team player
  • 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