Position Overview

We're looking for a Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!

Responsibilities

Develop ML-products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well as LLMs
Build cutting-edge augmented reality experiences using generative and diffusion models
Work on state of the art GenAI pipelines for image and video generation
Integrate ML models and AI APIs into production, and refine them through A/B testing and user feedback
Evaluate open-source models and third-party AI APIs/services to inform build-vs-buy decisions to leverage the best available tools (or iterate on them) to keep Snap's products at the cutting edge

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
Strong verbal and written communication skills, with meticulous attention to detail
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: neural rendering, generative 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 computer graphics foundations
Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
Experience with visual Gen AI models for Image and Video generation and Editing
Experience with evaluating the visual quality of Image and Video models