Lead Machine Learning Engineer, Gen AI

Position Overview

We're looking for a Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap! Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

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 with diffusion/flow matching models and GANs
• Work on state of the art GenAI pipelines for image and video generation
• Extensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedback
• Actively monitor the market and research landscape for new developments in Gen AI, 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
• Evaluate open-source Gen AI models and APIs

Requirements & Skills

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
• Excellent verbal and written communication skills, with meticulous attention to detail
• Ability to work independently
• Ability leading and executing large, complex technical initiatives

Minimum Qualifications:

• Strong background in Machine Learning
• Experience supporting applied machine learning teams that work closely with Product
• Strong programming skills in Python or C++
• Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning
• Track record of delivery ML-based backend products at scale in rapidly changing, highly collaborative, multi-stakeholder environments
• Track of record of collaboration with Product, Design and Data science functions to build consumer-facing ML-based products
• History of involvement in product roadmapping

Preferred Qualifications:

• Knowledge of computer graphics foundations
• Experience with visual Gen AI models for Image and Video generation and Editing
• Experience with evaluating the visual quality of Image and Video models
• Track record of successful projects in GenAI field
• Proven track of closely collaborating with Product, Design and Software Engineering teams for launching consumer-facing Gen AI or ML-powered products
• Ability to proactively learn new concepts and apply them at work