Machine Learning Engineer, Generative ML, Level 4

About the role

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!

What you’ll do:

- Develop innovative machine learning technology and products that serve millions of Snapchatters

- Work on state of the art generative pipelines for image, video, language or 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

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 TensorFlow

- Knowledge of mathematics and deep learning foundations

- Desire to solve open ambiguous problems

- Desire to grow professionally, learn and help others

- Ability to effectively collaborate with internal teams and external partners

- Ability to work independently

Minimum Qualifications:

- Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience

- 3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field

- Research or engineering experience in one or more of the following: generative models, efficient models, diffusion models, language models, or other related applications of machine learning