Machine Learning Engineer

SNAP, Inc.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Snap Inc is seeking a Machine Learning Engineer to join the Consumer Gen AI Product MLE team in London. You will develop ML products and AI lenses that power image and video generation, editing, and large language model work for millions of Snapchat users.

You will collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype, integrate models and APIs into production, and iterate through A/B tests and user feedback while monitoring Gen AI advancements.

Job description

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 Snapchatters 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 Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!

What you’ll do:

• Develop ML-products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well as LLMs
• Build cutting-edge augmented reality experiences with diffusion/flow matching models
• Work on state of the art GenAI pipelines for image and video generation. Ship well-scoped consumer-facing features within weeks, with guidance on broader architecture and launch decisions
• Extensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedback
• Actively monitor the market and research landscape for new developments in Gen AI, run focused