Lead Machine Learning Engineer, Gen AI

London - UK

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

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. The Companys three core products are Snapchat a visual messaging app that enhances your relationships with friends family and the world; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses Spectacles.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world every day. Were 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.

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

What youll do:

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 Snaps products at the cutting edge
Evaluate open-source Gen AI models and APIs

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
Bachelors 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

If you have a disability or special need that requires accommodation please dont be shy and provide us some information.

Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster reinforce our values and serve our community customers and partners better through dynamic collaboration. To reflect this we practice a default together approach and expect our team members to work in an office 4 days per week.

At Snap we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race religious creed color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression pregnancy childbirth and breastfeeding age sexual orientation military or veteran status or any other protected classification in accordance with applicable federal state and local laws. EOE including disability/vets.

Our Benefits: Snap Inc. is its own community so weve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy on your own terms. Our benefits are built around your needs and include paid parental leave comprehensive medical coverage emotional and mental health support programs and compensation packages that let you share in Snaps long-term success!

Required Experience: