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At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product, specifically connecting the dots between the aspirations of Pinners and the products offered by our partners through the evolution of the machine learning technology stack within Ads Ranking

Requirements

• Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Map-reduce)
• Understanding of an object-oriented programming language (Go, Java, C++, Python)
• Experience in working in frontend, backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
• 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts that improves user experience in products

Responsibilities

• 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

Other

• Masters or PhD in Comp Sci or related fields
• Strong execution skills in project management
• This position is not eligible for relocation assistance
• 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
• US based applicants only