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Machine Learning Engineer, Anti-Abuse


Headquarters: San Francisco
See all Pinterest jobs →

As an engineer on Pinterest’s small but rapidly growing Protect team, you’ll build machine learning models and infrastructure that directly enable product surfaces to filter spam, unsafe content, and suspicious users. Your systems will process reporting signals from our 200+ million active users to enable a trustworthy experience on Pinterest. Millions of people around the world use Pinterest to discover and do what they love, and our job is to protect them from abuse and harmful content.

What you’ll do:

  • Design features and build large scale machine learning models to detect spam contents (text, image, links) and suspicious user behaviors
  • Collaborate with product teams to tune and integrate solutions you develop
  • Collaborate with data analysts to discover and mitigate new spam and abuse patterns

What we’re looking for:

  • CS degree with 3+ years of relevant industry experience
  • Experience working on production machine learning systems at scale to detect spam, fraud or related domains
  • Expertise in building data or training pipelines using Spark or Hadoop
  • Proficiency in Python or similar programming language

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.