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.
As a senior machine learning engineer on the Trust and Safety Signals team, you'll identify problems and deliver end-to-end Machine Learning solutions to detect abuse on Pinterest, including spam, fraud, and content safety violations. You will work with a world-class team, providing mentorship and working with other senior leaders to set the team direction and technical strategy.
What you’ll do:
Design and develop machine learning models using structured or semi-structured data at Pinterest scale to detect spam, fraud, and content safety violations.
Work on the full ML stack, from problem identification through label collection all the way to evaluation and real-time or batch productionization.
Uplevel the team through mentorship, process design, and strong architecture.
Work with other senior leaders to set the team direction.
What we’re looking for:
Deep knowledge of Machine Learning, particularly deep neural networks
Proficiency in Java and/or Python
Experience in Spark, Hadoop, Hive, and/or other distributed computing frameworks
Computer science or applicable degree
Pinterest is full of possibilities to design your life. Discover recipes, style inspiration, projects for your home and other ideas to try.