Staff Software Engineer, Content Quality

Staff Software Engineer, Content Quality

• Remote
• Regular
• Engineering

About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s 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, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll 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.

Our new progressive work model is called PinFlex, a term that’s 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
• 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
• Preferred Qualifications:
  • Experience working with machine learning model lifecycle
  • Basic knowledge of machine learning, e.g., feature extraction, training, and some familiarity with machine learning domains (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing)

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. This position will pay a base salary of $207,500 to $311,200. 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 at https://www.pinterestcareers.com/pinterest-life/.

Our Commitment to Diversity:

At Pinterest, our mission is to bring everyone the inspiration to create a life they love—and that includes our employees. We’re taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.