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 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 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.

• 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.

• 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.

• 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 year 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.

• 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.

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.

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, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

EOE, including disability/vets. We are an Equal Opportunity Employer and will…