Generative ML Engineer for On-Device AR & Vision

Snapchat, Inc.; Santa Clarita (CA); Vor Ort; USD 209.000 - 313.000; Vollzeit

Benefits dieser Stelle

Equity in RSUs

Zusammenfassung

Snap Inc. is looking for a Machine Learning Engineer to join the Generative ML Platform team and build cutting-edge AI that powers Snapchat’s millions of users.

You will work on end-to-end generative pipelines for image, video, language or audio generation, deliver experiences on-device, and craft AR features using diffusion models. The role requires strong ML expertise, proficiency in Python or C++, and experience with PyTorch or TensorFlow, with collaboration across teams to prototype new

Qualifikationen

• 5+ years of post-Bachelor’s machine learning experience
• Proven experience with generative models, diffusion models or related applications
• Proficiency in Python or C++ for ML development
• Experience collaborating with cross-functional teams
• Strong mathematics and DL fundamentals

Aufgaben

• Develop innovative machine learning technology and products for Snapchatters
• Work on state-of-the-art generative pipelines for image, video, language or audio generation
• Deliver generative ML experiences on device
• Build AR experiences using generative and diffusion models
• Partner with cross-functional teams to prototype new products

Kenntnisse

Machine learning

Python

C++

PyTorch

TensorFlow

Diffusion models

Generative models

Problem solving

Collaboration

Independence

Ausbildung

Bachelor’s Degree in a technical field

Tools

Deep learning frameworks: PyTorch / TensorFlow

Jobbeschreibung

Snap Inc. is looking for a Machine Learning Engineer to join the Generative ML Platform team and build cutting-edge AI that powers Snapchat’s millions of users.

You will work on end-to-end generative pipelines for image, video, language or audio generation, deliver experiences on-device, and craft AR features using diffusion models. The role requires strong ML expertise, proficiency in Python or C++, and experience with PyTorch or TensorFlow, with collaboration across teams to prototype new