Principal Machine Learning Engineer, Platform Integrity Engineering, Level 7

Location: New York

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.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snap chatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

We’re looking for a Principal Machine Learning Engineer to join the Platform Integrity Engineering team at Snap!

What you’ll do:

Design, implement, and scale critical machine learning models and systems to protect Snap chatters around global from harmful content and bad actors, promote a healthy content ecosystem through effective moderation, and ensure regulatory compliance

Collaborate with cross-functional teams to set and align on machine learning strategies to meet company objectives

Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization

Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services

Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management

Provide technical direction that influences the entire ML community

Knowledge, Skills & Abilities:

Strong understanding of machine learning, deep learning, computer vision, natural language processing, and LLMs/VLMs approaches and algorithms, and their applications to Trust and Safety, Content Moderation, and Content Quality domains

Experience setting the direction for a team whose primary output is online machine learning models to proactively detect harmful content and bad actors, moderate content supply to promote healthy content ecosystem, and automate moderation tasks with high precision

Ability to design, train, and optimize advanced machine learning models

Excellent programming and software design skills

Ability to proactively learn new concepts and technology and apply them at work Skilled at solving ambiguous problems and leading and executing complex technical initiatives

Strong collaboration and mentorship skills

Minimum Qualifications:

Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience9+ years of post-Bachelor’s machine learning experience; or a Master’s degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience2+ years of experience with technical leadership or acting as the domain-expert to a technical organization

Experience developing and shipping performant and scalable machine learning models

Experience with Tensor Flow, PyTorch, or related deep learning frameworks

Preferred Qualifications:

Experience in online safety and integrity, including Trust and Safety, Content Moderation, and Content Quality Experience in developing multimodal models and LLMs/VLMs in harmful content detection, and utilizing the state-of-the-art machine learning techniques to…