Machine Learning Engineer, Generative AI - Snap Inc.

Machine Learning Engineer, Generative AI

Machine Learning Engineer, Generative AI

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

We're looking for a Machine Learning Engineer to join our Generative ML team!

What you’ll do:

• Develop innovative machine learning technology and products that serve millions of Snapchatters
• Work on state of the art GenAI pipelines for image and video 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

Knowledge, Skills & Abilities:

• A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
• Knowledge of mathematics and deep learning foundations
• Desire to solve open ambiguous problems
• Desire to grow professionally, learn and help others
• Ability to effectively collaborate with internal teams and external partners
• Ability to work independently

Minimum Qualifications:

• Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
• Research or engineering experience in one or more of the following: generative models, efficient models, segmentation, object detection, classification, tracking, or other related applications of machine learning
• Experience with the major deep learning frameworks: PyTorch or TensorFlow
• Strong track record of software development in Python or C++

Preferred Qualifications:

• Master's degree or PhD in a related technical field
• Experience developing real-time software for mobile applications
• Knowledge of GenAI, especially image and video generation foundations
• Knowledge of efficient model foundations
• Track record of successful projects in GenAI field
• Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.

Zone A (CA, WA, NYC): The base salary range for this position is $118,000-$176,000 annually.

Zone B: The base salary range for this position is $112,000-$167,000 annually.

Zone C: The base salary range for this position is $100,000-$150,000 annually. This position is eligible for equity in the form of RSUs.