Sr Staff Machine Learning Engineer Ads Quality
Sr Staff Machine Learning Engineer Ads Quality
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Salary Not Disclosed
1 Vacancy
Job Description
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 youll do:
- Lead the tech direction and responsible for the development of stateoftheart applied machine learning projects for the ads conversion modeling team
- Coach and mentor engineers for the conversion modeling team
- Design features and build largescale 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 were 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
- Crossfunctional collaborator and strong communicator
- 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 can be situated anywhere in the country.
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
