About the Role
Title: Staff Software Engineer, Content Quality, Signal Lifecycle TL
Location: San Francisco, CA, US; Remote, US
Job Description:
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. Its where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, youll be challenged to take on work that upholds this mission and pushes Pinterest forward. Youll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term thats uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
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.