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The Ads Quality team is trying to connect the dots between the aspirations of Pinners and the products offered by partners, and needs to develop and execute a vision for 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
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
• Experience with machine learning and deep learning
• Experience with Ads Ranking technology stack

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

• 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
• Strong execution skills in project management
• Masters or PhD in Comp Sci or related fields
• US based applicants only
• Relocation Statement: This position is not eligible for relocation assistance
• In-Office Statement: This role will need to be in the office for in-person collaboration 1-2 times/month