Generative ML Engineer - On-Device & AR Innovation

Snapchat, Inc.; Santa Clarita (CA); Vor Ort; USD 164.000 - 259.000; Vollzeit

Benefits dieser Stelle

RSU equity

Zusammenfassung

Snap Inc. is seeking a Machine Learning Engineer for its Generative ML Platform team to develop cutting-edge generative AI technologies powering Snapchat experiences. You will work on pipelines for image, video, language, and audio generation, delivering on-device capabilities and AR experiences.

The role requires strong Python/C++ software skills, proficiency with PyTorch or TensorFlow, and a passion for rapidly prototyping ideas with minimal supervision. Equity in RSUs is available.

Qualifikationen

• 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 +2 years or PhD in a technical field.
• Experience with generative models, diffusion models, language models, or related ML applications.

Aufgaben

• Develop innovative machine learning technology and products for millions of Snapchatters.
• Work on state-of-the-art generative pipelines for image, video, language or audio generation.
• Deliver generative ML experiences on device and on server-side infrastructure.
• Build AR experiences using generative and diffusion models; collaborate with cross-functional teams.

Kenntnisse

Python

C++

PyTorch

TensorFlow

Math foundations

Deep learning

Collaboration

Independence

Ausbildung

Bachelor's Degree in a technical field

Master's or PhD desired

Tools

PyTorch

TensorFlow

Jobbeschreibung

Snap Inc. is seeking a Machine Learning Engineer for its Generative ML Platform team to develop cutting-edge generative AI technologies powering Snapchat experiences. You will work on pipelines for image, video, language, and audio generation, delivering on-device capabilities and AR experiences.

The role requires strong Python/C++ software skills, proficiency with PyTorch or TensorFlow, and a passion for rapidly prototyping ideas with minimal supervision. Equity in RSUs is available.