Tech Lead, Protect

San Francisco

With millions of Pinners and billions of Pins, Pinterest presents a ripe target for spam, fraud, and objectionable content. As an engineer on the Protect team, the systems you develop will shield Pinners from seeing the bad stuff and help us build a great Pinterest brand. We're passionate about developing infrastructure to fight fraud at big data scale in real-time.

What you'll do :
  • Design, code, and debug real-time systems to process large data-sets on massive clusters
  • Build infrastructure for ML models to detect abuse, classify content and enforce policy
  • Build pro-active systems to detect and surface anomalies
  • Collaborate with product teams to enhance and integrate solutions you develop
  • Collaborate with data analysts to discover and mitigate new fraud and abuse patterns
What we're looking for :
  • Experience programming in Java/C++ or in a scripting language, such as Python/Ruby
  • Experience with batch processing or stream processing systems (e.g. Hadoop, Spark) and passion for building large-scale data infrastructure
  • Experience with building systems to detect spam, fraud or related domains
  • Great communication skills. You should be able to clearly articulate your design decisions and engage closely with Product Managers and Spam Operations
  • 5+ years of fulltime industry experience

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Other information

If you haven't already, try it out! Understanding the product will help you work through some of our interview questions.

We’re looking for all kinds of people



To build an app that’s used and loved by people all around the world, we need a team with all kinds of different perspectives, experiences and backgrounds.



To put it legally: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best people in every job. Pinterest policy prohibits unlawful discrimination based on race, color, religious creed, sex, gender identity, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), sexual orientation, pregnancy or any other consideration made unlawful by federal, state or local laws. It also prohibits discrimination based on a perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful.