Machine Learning Engineer, Generative ML , Level 5

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’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap’s Generative ML Platform team builds cutting-edge AI technologies that power creative, scalable experiences for hundreds of millions of Snapchatters worldwide. From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient infrastructure, and on-device and server-side inference. Our team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles.We're looking for a Machine Learning Engineer to join our Generative ML team!What you’ll do:Develop innovative machine learning technology and products that serve millions of SnapchattersWork on state of the art GenAI pipelines for image, video, and audio generationDeliver generative machine learning experiences on deviceBuild cutting-edge augmented reality experiences using generative and diffusion modelsPartner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills & Abilities:A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly Strong software development skills in Python or C++Proficiency working with major deep learning frameworks: PyTorch or TensorFlowKnowledge o