Senior GenAI ML Engineer – On-Device & AR Platforms

Snap Inc.; New York (NY); On-site; USD 199,000 - 313,000; Full time

Benefits offered by this job

RSU equity

Job summary

Snap Inc. is seeking a Machine Learning Engineer to join our Generative ML team in New York. You will develop innovative ML technology, work on cutting-edge generative pipelines for image, video, language or audio generation, and deliver on-device experiences.

You will build AR experiences using diffusion models and partner with cross-functional teams to prototype new products, while staying current with ML research and best practices.

Qualifications

• 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 years of post-grad machine learning experience.
• Research or engineering experience in generative models, efficient models, diffusion models, language models, or related ML applications.

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

Ambiguity solving

Collaboration

Independent work

Education

Bachelor’s Degree in a technical field

5+ years ML experience; or Master’s +4+ years; or PhD +1 year

Tools

PyTorch

TensorFlow

Job description

Snap Inc. is seeking a Machine Learning Engineer to join our Generative ML team in New York. You will develop innovative ML technology, work on cutting-edge generative pipelines for image, video, language or audio generation, and deliver on-device experiences.

You will build AR experiences using diffusion models and partner with cross-functional teams to prototype new products, while staying current with ML research and best practices.