Distinguished Machine Learning Engineer, Monetization

Job Location:

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Within the Monetization ML Engineering organization we try to connect the dots between the aspirations of Pinners and the products offered by our partners. As a Distinguished Machine Learning Engineer you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for Monetization. You will work on tackling new challenges in machine learning and deep learning to advance the statistical models that power ads performance and ads delivery that bring together Pinners and partners in this unique marketplace.

What youll do:

Lead user-facing projects that involve end-to-end engineering development in both frontend and backend and ML
Improve relevance and increase long term value for Pinners Partners Creators and Pinterest through efficient Ads Delivery.
Improve our engineering systems to improve the latency capacity stability and reduce infra cost
Collaborate with product managers and designers to develop engineering solutions for user-facing product improvements
Collaborate with other engineering teams (infra user modeling content understanding) to leverage their platforms and signals
Champion engineering excellence and a data driven culture mentor senior tech talent and represent Pinterest externally in the tech and AI communities.

What were looking for:

Degree in computer science machine learning statistics or a related field
15 years of working experience in engineering teams that build large-scale MLdriven userfacing products
Experience leading crossteam engineering efforts that improve user experience in products
Understanding of an objectoriented programming language such as Go Java C or Python
Experience with largescale data processing (e.g. Hive Scalding Spark Hadoop MapReduce)
Strong software engineering and mathematical skills with knowledge of statistical methods
Experience working across frontend backend and ML systems for largescale userfacing products with a good understanding of how they all work together
Handson experience with largescale online ecommerce systems
Background in computational advertising is preferred
Excellent crossfunctional collaboration and stakeholder communication skills with strong execution in project management

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office 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 can be situated anywhere in the country.

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