Distinguished Machine Learning Engineer, Monetization

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 you'll 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 we’re 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, ML‑driven, user‑facing products 
• Experience leading cross‑team engineering efforts that improve user experience in products
• Understanding of an object‑oriented programming language such as Go, Java, C++, or Python
• Experience with large‑scale 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 large‑scale user‑facing products, with a good understanding of how they all work together
• Hands‑on experience with large‑scale online e‑commerce systems
• Background in computational advertising is preferred
• Excellent cross‑functional 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 we're 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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