At Pinterest, we connect Pinners with products and ideas they love, and within the Ads Conversion Modeling team, we focus on building innovative machine learning solutions that measure and optimize the effectiveness of advertising, respecting user privacy choices.
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, especially privacy preserving modeling.
- Knowledge of Recommender Systems, Ads Ranking and related products
- Experience with machine learning solutions that measure and optimize the effectiveness of advertising
Responsibilities
- Lead projects that involve developing and deploying state-of-the-art (and beyond) ML models in production advertising systems, with a focus on conversion modeling and measurement.
- Collaborate and partner with cross-functional teams across the company to help define and drive forward-looking ML strategy for privacy preserving conversion modeling and optimization.
- Be hands-on and develop models and systems that lead to step-function improvements to our topline metrics
- Mentor and grow junior ML engineers in the team and partner teams and help to uplevel ML talent across the organization
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 and related products.
- 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
