Generative ML Engineer — On-Device AI & AR

Snap Inc.; New York (NY); Hybrid; USD 147,000 - 259,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Mental health support programs

Equity RSUs

Job summary

Snap Inc. is seeking a Machine Learning Engineer for its Generative ML Platform team to advance multimodal models and AI-powered experiences for hundreds of millions of Snapchatters. The role focuses on on-device generation, efficient models, and real-time AR capabilities across mobile, web, and wearables.

You will prototype new products, collaborate across teams, and stay current with research while delivering scalable ML solutions and practical applications.

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 generative models, efficient models, diffusion models, language models, or other related applications of machine learning

Responsibilities

• 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

Skills

Machine Learning

Python or C

PyTorch or TensorFlow

Mathematics

Collaboration

Independent work

Education

Bachelor’s Degree in a technical field

Master’s degree or PhD in a technical field

Tools

Python

C

Job description

Snap Inc. is seeking a Machine Learning Engineer for its Generative ML Platform team to advance multimodal models and AI-powered experiences for hundreds of millions of Snapchatters. The role focuses on on-device generation, efficient models, and real-time AR capabilities across mobile, web, and wearables.

You will prototype new products, collaborate across teams, and stay current with research while delivering scalable ML solutions and practical applications.