Software Engineer, Content Quality

Toronto, ON, CA
Two women posing in front of a green screen.
Two women sitting at a table in a group setting.
Decorative light letters that spell PINS with a woman sitting on the floor next to them.
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Decorative light letters that spell PINS.
A lush office patio with furniture overlooking a neighborhood in the city.
Various flyers for women's groups at Pinterest.
A view of Pinterest Toronto office common area.
A colorful art installation.

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.

We build large-scale content processing systems that utilize machine learning signals to select the best content quality to distribute to pinners. 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 facilitate signal adoption

What we’re looking for:

  • 5+ 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
  • Hands-on experience on large-scale distributed systems (distributed storage systems, stream processing, inference, and deployment at scale)
  • Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) and scalable real-time systems that process stream data
  • What skills are ideal but not required?
  • Experience working with machine learning model lifecycle
  • Basic knowledge of machine learning (or willingness to learn!), e.g., feature extraction, training, and some familiarity with machine learning domains (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing)


We’re growing rapidly throughout Latin America and Mexico! Check out our open positions and learn more about Pinterest’s exciting opportunities in these regions.

It all starts here.
Meet the people behind the product.