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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, specifically improving advertising performance and solving various business problems through ML signals.

Requirements

• Strong software engineering and mathematical skills with knowledge of machine learning
• Hands-on experience with large-scale online ranking/recommendation systems.
• Experience with Ads domain is a plus.
• Knowledge of Recommender Systems, Ads Ranking/Retrieval or Representation Learning domains.
• Experience with sequence/graph and cross domain datasets.

Responsibilities

• Provide technical vision and define the long-term roadmap in representation learning and model pre-training areas.
• Stay informed of emerging ML research and industry trends, identify relevant techniques, and inspire the team in evaluating and incorporating these approaches.
• Oversee the model and signal development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.
• Collaborate with cross functional application teams, enable teams to do cross functional work with engineers from ranking/retrieval and ML infra teams.
• Lead a group of ML talents to innovate our representation learning and model pre-training techniques, leveraging sequence/graph and cross domain datasets.

Other

• MS or PhD degree in Computer Science, Statistics or related field
• 6+ years of industry experience with related background in Recommender Systems, Ads Ranking/Retrieval or Representation Learning domains.
• 2+ years of experience as TLM or EM managing engineering teams
• In-office collaboration once per week, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.
• US based applicants only