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 Snap chatters 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 Snap chatters 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

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 Tensor Flow 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 experience5+ 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 Qualifications:

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.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information."Default Together" Policy at Snap:
At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition,…