Staff Software Engineer, Content Quality
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.
- 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.
- 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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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.
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