Director, Machine Learning Engineer, Content

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.

The Content Machine Learning Engineering organization is responsible for building all of the systems responsible for personalized candidate retrieval and ranking as well as content understanding, quality, freshness, and relevance for Stories and Spotlight.

The team focuses on enhancing user experience, driving innovation across Spotlight, supporting content creators, and making content creation effortless. Our team tackles multi-modal content understanding, using advanced graph representation learning and content ranking to surface the best experiences for our users. We optimize machine learning models through human review and leverage state-of-the-art personalization techniques, placing us at the forefront of short form video content innovation.

We're looking for a Director of ML to lead our Content Machine Learning Engineering team. This role is responsible for setting multi-year ML strategy for recommendation/ranking, content understanding, production reliability, and experimentation, as well as managing and developing managers and connecting model investments to business outcomes.

What you'll do:

• Support our teams solving interesting technical challenges, building world-class experiences in Snapchat and maintaining software and a platform used by over 450 million people every day
• Oversee day to day operations of the Content ML teams across multiple offices in Seattle, Los Angeles, San Francisco, Palo Alto, and New York
• Develop organizational-level goals and drive the technical and organizational roadmap for the engineering team
• Collaborate with Executives, Finance, Product, and Engineering teams to deliver the highest quality for our product
• Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions
• Build and scale high-performing teams of software engineers, machine learning engineers, and technical leaders, while mentoring and developing engineering managers, directors, and senior independent contributors to achieve excellence and impact
• Iterate quickly without compromising quality and raise the bar on operational excellence.

Knowledge, Skills, & Abilities:

• Ability to partner with cross-functional executives and management across a geographically distributed organization