Staff Software Engineer - Content Quality, Signal Lifecycle TL

The Content Quality team builds large-scale content processing systems that utilize machine learning signals to select the highest quality content to distribute to pinners. This team touches nearly every piece of content that comes into Pinterest and creates and distributes signals that drive impact across our suite of consumer or ads products. To scale our systems we leverage Spark, Flink, and low-latency model serving infrastructure.

What you'll do:

• Architect and develop systems, data pipelines, tools, and processes for computing and delivering signals capturing quality aspects of content created on Pinterest.

• Collaborate with Machine Learning engineers during conceptualization and productionization of signal.

• Work with infrastructure and platform teams to build the right set of tools and APIs to support signal hosting and delivery.

• Collaborate with signal consuming teams to architect signal adoption frameworks.

What we're looking for:

• 7+ years of industry experience with two years as TL.

• Expertise in at least one of the generic programming languages (Java/Scala/C++/Python/).

• Expertise in building and debugging scalable backend services and APIs.

• Expertise in technical leadership of a team and mentorship.

• Hands-on experience with large-scale distributed systems (distributed storage systems, stream processing, inference, and deployment at scale).

• Hands-on experience with big data technologies (e.g.,  Spark / Kafka / Flink/ Hadoop) and scalable real-time systems that process stream data.

Relocation Statement:

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

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