Manager II, Machine Learning Engineering - Ads Marketplace
Manager II, Machine Learning Engineering - Ads Marketplace
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1 Vacancy
Job Description
Within the Ads delivery team we try to connect the dots between the aspirations of pinners and the products offered by our partners. As a Manager you will lead a talented team of machine learning engineers collaborating closely with product managers data scientists designers and engineers across the company to deliver impactful pinner-facing ad products end-to-end.
What youll do:
- Define and drive the strategy and roadmap for our vertical ads products shaping the future of ad experiences on Pinterest.
- Lead your team in building scalable product onboarding systems applying state-of-art machine learning techniques to enhance ads product triggering ranking and selection and driving value via the ads marketplace systems for bidding budgeting ad ranking tuning pricing ad allocation and placement.
- Collaborate with product managers data scientists designers and engineers across the company to deliver pinner facing ads products end-to-end.
- Mentor and develop machine learning engineers at all levels setting clear technical vision guiding daily execution and fostering a strong healthy team culture.
- Establish and uphold high standards for code quality system design and operational excellence within your team.
What were looking for:
- MS or PhD degree in Computer Science Machine Learning or related field.
- 6 years of industry experience.
- 1 years of management experience.
- Hands-on experience with model offline development and online serving.
- Hands-on experience with large-scale online e-commerce systems is preferred.
- Full ads funnel knowledge thats from bidding and budgeting systems all the way to ads retrieval and allocation is preferred.
- Strong software engineering mathematical and analytical skills.
- Exceptional strategic thinking communication and collaboration skills.
In-Office 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 in-person collaboration 1-2 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:
Manager
Employment Type
Full Time
