Generative ML Engineer - On-Device AI & AR

Snap Inc.; Los Angeles (CA); On-site; USD 184,000 - 248,000; Full time

Benefits offered by this job

Equity RSUs

Comprehensive medical coverage

Paid parental leave

Job summary

Snap Inc. is seeking a Machine Learning Engineer to join the Generative ML team. You will develop innovative ML technology for millions of Snapchatters, working on on-device generative pipelines across image, video, language, and audio generation.

You will build AR experiences using generative models, collaborate with cross-functional teams, and help bring new products from idea to realization while staying current with research in ML and AI.

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 passion

Python or C

PyTorch or TensorFlow

Mathematics foundations

Collaborate effectively

Independent work

Education

Bachelor's degree in a technical field

3 years ML experience (post-Bachelor)

Master/PhD in a relevant field (preferred)

Tools

PyTorch

TensorFlow

Job description

Snap Inc. is seeking a Machine Learning Engineer to join the Generative ML team. You will develop innovative ML technology for millions of Snapchatters, working on on-device generative pipelines across image, video, language, and audio generation.

You will build AR experiences using generative models, collaborate with cross-functional teams, and help bring new products from idea to realization while staying current with research in ML and AI.