Senior 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! You'll 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. You'll build cutting-edge augmented reality experiences with diffusion/flow matching models and GANs.

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