Staff Machine Learning Engineer, Ads Conversion Modeling

Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

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.

What you’ll do:

• Lead the tech direction and responsible for 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

What we’re looking for:

• MS or PhD degree in Computer Science, Statistics or related field
• 6+ 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
• Strong mathematical skills with knowledge of statistical methods
• Cross-functional collaborator and strong communicator
• Background in computational advertising is preferred, but not required