About the role
Who you are
- MS or PhD degree in Computer Science, Statistics or related field
- 3+ years of industry experience building large-scale machine learning models, with experience in ranking and recommender systems (e.g., search, recommendations, personalization)
- Strong mathematical skills with knowledge of statistical methods
- Cross-functional collaborator and strong communicator
- Background in computational advertising is preferred, but not required
What the job involves
- Within the Ads Ranking team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners
- In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for the conversion modeling team
- You will work on tackling new challenges such as user sequence modeling, embedding features, model quantization, utility alignment, RoAS optimization and many more to advance the ML models that power the heavy ranker stage and delivery that bring together pinners and partners in this unique marketplace
- Execute the development of state-of-the-art applied machine learning projects for the ads conversion modeling team
- Coach and mentor engineers for the conversion modeling team
- Design features and build large-scale machine learning models to improve user ads action prediction with low latency
- Develop new techniques for inferring user interests from online activity
- Mine text, visual, user signals to better understand user intention
- Work with product and sales teams to design and implement new ad products
About Pinterest
Software Development
10,000+
Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 482 million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments.
About the role
Who you are
- MS or PhD degree in Computer Science, Statistics or related field
- 3+ years of industry experience building large-scale machine learning models, with experience in ranking and recommender systems (e.g., search, recommendations, personalization)
- Strong mathematical skills with knowledge of statistical methods
- Cross-functional collaborator and strong communicator
- Background in computational advertising is preferred, but not required
What the job involves
- Within the Ads Ranking team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners
- In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for the conversion modeling team
- You will work on tackling new challenges such as user sequence modeling, embedding features, model quantization, utility alignment, RoAS optimization and many more to advance the ML models that power the heavy ranker stage and delivery that bring together pinners and partners in this unique marketplace
- Execute the development of state-of-the-art applied machine learning projects for the ads conversion modeling team
- Coach and mentor engineers for the conversion modeling team
- Design features and build large-scale machine learning models to improve user ads action prediction with low latency
- Develop new techniques for inferring user interests from online activity
- Mine text, visual, user signals to better understand user intention
- Work with product and sales teams to design and implement new ad products
About Pinterest
Software Development
10,000+
Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 482 million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments.