Generative ML Engineer - On-Device AR & Models

Snap Inc.; New York (NY); Hybrid; USD 173,000 - 259,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Mental health support

Job summary

Snap Inc. in New York, NY seeks a Machine Learning Engineer to advance generative AI capabilities for images, video, language, and audio generation.

You will contribute to on-device ML experiences and AR features at scale, collaborating across teams to prototype new products. Ideal candidates bring strong Python/C++ skills, experience with PyTorch or TensorFlow, and a track record in generative models or diffusion techniques.

Qualifications

• Bachelor’s degree in a technical field and 3+ years of ML experience.
• Experience with generative models, diffusion models, or language models.
• Post-Bachelor’s research or engineering experience in relevant ML areas.

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

Python

C++

PyTorch

TensorFlow

Mathematics

Collaboration

Independence

Communication

Education

Bachelor’s degree

Master’s degree

PhD

Tools

PyTorch

TensorFlow

Job description

Snap Inc. in New York, NY seeks a Machine Learning Engineer to advance generative AI capabilities for images, video, language, and audio generation.

You will contribute to on-device ML experiences and AR features at scale, collaborating across teams to prototype new products. Ideal candidates bring strong Python/C++ skills, experience with PyTorch or TensorFlow, and a track record in generative models or diffusion techniques.