: Data Science, Product Analytics - Instagram Machine Learning


Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.


Instagram is a global community of more than 1 billion, which means jobs here offer countless ways to make an impact in a fast growing organization. Instagram was built to connect people to the people and interests they love. Their app has played a critical part in forming meaningful communities where people can connect with each other and share what matters most to them.The mission of the Personalization Technologies team (Feed & Relevance Pillar in IG) is to power smarter products for Instagram through the use of machine learning. As a Data Scientist in Personalization Technologies, you will work cross-functionally with teams across Instagram to power and improve all of their machine learning models, by focusing on ranking, retrieval, and even resource efficiency. Youll also be working and with some of the world leading experts in Machine learning!

Required Skills

  • Design and implement data-driven systems to increase the value of modeling, labeling, ranking and efficiency for all product teams in Instagram that leverage machine learning
  • Develop a framework to standardize feature adoption and feature deprecation across all engineering teams in Instagram
  • Create forecasts and models for supply and demand to support their quarterly and annual capacity planning needs
  • Understand how feature values change over time, either due to user behavior or data quality issues, and how that impacts all IGML models

Employee Testimonials

Edward Fagin (Photo credit: Ryan Mack)
Edward Fagin
Engineering Manager

I'm an engineering manager on our real-time infrastructure team, and my team focuses on GraphQL Subscriptions — a component of the widely-used GraphQL open source query language for APIs — that makes it easier for engineers to build real-time features into their products. At Facebook, this framework powers a number of features that people use every day, including comment-typing indicators and streaming reactions on live videos.

At Facebook, you have the opportunity to contribute to an incredibly wide range of infrastructure projects. While our engineers have a variety of expertise, they share a passion for solving complex engineering challenges at scale. It's humbling to know that everything you work on can potentially impact more than two billion people around the world.

Vaneeta Singh (Photo credit: Ryan Mack)
Vaneeta Singh
Engineering Manager

We develop the network software for Facebook applications on iOS and Android platforms. This includes measuring and improving performance, reliability, security, and efficiency of network communication with Facebook servers. Getting the most out of a diverse set of worldwide mobile networks, and millions of handsets with a wide range of hardware capabilities is challenging as well as fun. All this while we play good citizens in these networks and are mindful of the device battery, storage, and data consumption.