About the job
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’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!
Responsibilities
Develop innovative machine learning technology and products that serve millions of Snapchatters
Work on state of the art GenAI pipelines for image, video, and audio generation
Deliver generative machine learning experiences on device
Build cutting-edge augmented reality experiences using generative and diffusion models
Partner with cross-functional Snap teams to explore and prototype new products
Qualifications
Minimum
Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
Research or engineering experience in one or more of the following: generative models, efficient models, segmentation, object detection, classification, tracking, or other related applications of machine learning
Preferred
Master's degree or PhD in a related technical field
Experience developing real-time software for mobile applications
Knowledge of GenAI, especially image, video, and audio generation foundations
Knowledge of efficient model foundations
Track record of successful projects in GenAI field
Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.