Manager II Machine Learning Engineering Monetization
Manager II Machine Learning Engineering Monetization
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1 Vacancy
Job Description
Pinterest is one of the fastest growing online ad platforms and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers / products. Were looking for an Engineering Manager with experience in machine learning data mining recommender systems to lead a team that develop and execute a vision for the evolution of the machine learning technology stack for ads lightweight ranking models ads retrieval candidate generation models and/or ads engagement models.
In this role you will be leading a worldclass ML team on tackling new challenges such as sequential recommenders for modeling users shopping journey dedicated candidate generator to optimize for ads conversions exploring model architectures beyond the traditional twotower structure etc. and leveraging LLMs to enhance our recommendation systems. As well as large CTR / conversion models user sequence modeling representation learning embeddings new ads engagement objective modeling GPU based retrieval and many more to advance the ML models that power the ads engagement and delivery that bring together pinners and partners in this unique marketplace.
What youll do:
- Manage and grow the engineering team providing technical vision and longterm roadmap development.
- Design and build largescale ML models to improve ads engagement prediction ads retrieval and ranking efficiency & performance
- Effectively collaborate and partner with several cross functional teams to build the next generation of lightweight ranking and engagement models and/or ads retrieval candidate generation models especially those related to conversion optimization.
- Enable teams to do cross functional work with engineers from ranking/retrieval and ML infra teams.
- Stay informed of emerging ML research and industry trends identify relevant techniques and inspire the team in evaluating and incorporating these approaches.
- Recruit mentor and retain top ML talent fostering a culture of growth collaboration and technical excellence.
What were looking for:
- M.S. or Ph.D. in Computer Science Machine Learning or a related field.
- 6 years of industry experience in building production machine learning systems at scale data mining search recommendations with related background in recommender systems ranking/retrieval or representation learning domains
- 12 years of experience managing engineering teams as a TLM or EM crossfunctional collaborator and strong communicator
- Handson experience with largescale online ranking/recommendation systems.
- Ads domain experience is a plus.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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 once a week and therefore needs to be in a commutable distance from one of the following offices: San Francisco / Palo Alto / Seattle.
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Required Experience:
Manager
Employment Type
Full Time
