Staff Machine Learning Engineer Ads Intelligence
Staff Machine Learning Engineer Ads Intelligence
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Salary Not Disclosed
1 Vacancy
Job Description
Within the Ads Intelligence team we try to connect the dots between the goals of our advertisers and the performance of our ads delivery stack. The team plays a pivotal role in empowering advertisers and our sales team to make informed decisions regarding campaign setups budget allocations and ad optimizations. We are a diverse team of machine learning engineers backend engineers statisticians and economists. Youll have the opportunity to apply advanced machine learning techniques to address these challenges and maximize value for both advertisers and Pinterest.
What youll do:
- Budget Allocation Optimization: Develop and enhance machine learning models that optimize advertisers budget allocations across various campaigns and channels to maximize ROI for advertisers and revenue for Pinterest.
- Campaign Recommendation Systems: Design systems that provide datadriven recommendations on campaign settings including targeting creatives and bidding strategies to boost campaign effectiveness and efficiency.
- Counterfactual Engine Development: Work with the Ads Bidding and Ads Marketplace teams to build a counterfactual engine that simulates and predicts ad performance under hypothetical scenarios for informed decisionmaking.
- Integration and Collaboration: Partner with crossfunctional teams including ML engineers backend engineers statisticians and economists to build robust systems that elevate ad intelligence capabilities.
- Continuous Learning and Improvement: Stay abreast of the latest developments in machine learning and advertising technologies to persistently drive innovation and improvement aligned with the teams objectives.
What were looking for:
- MS or PhD degree in Computer Science Statistics or related field.
- 6 years of industry experience with a focus on machine learning applications in advertising.
- 2 years of experience leading projects or teams with a strong emphasis on collaboration and communication.
- Proficient in software engineering with a solid foundation in statistical methods.
- Handson experience with largescale online ecommerce systems is a plus.
- Background in computational advertising is preferred but not required.
InOffice Requirement Statement:
- We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for inperson collaboration 12 times/month and therefore needs to be in a commutable distance from one of the following offices: San Francisco Palo Alto Seattle.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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Required Experience:
Staff IC
Employment Type
Full-Time
