Machine Learning Engineering Manager, 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 Engineering Manager to join the Consumer Gen AI Product Engineering at Snap!

What youll do:

Lead an applied team of Machine Learning Engineers to build and enhance Snaps consumer-facing Gen AI products and AI Lenses with a primary focus on image and video generation and editing as well as LLMs
Extensively collaborate with Product Software Engineering Lens Content Data Science teams and executive stakeholders 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 and make build-vs-buy decisions to leverage the best available tools (or iterate on them) to keep Snaps products at the cutting edge
Oversee the end-to-end ML lifecycle from product research and ML prototyping to training deployment and ongoing inference in production ensure best practices in availability scalability cost-efficiency and operational excellence
Facilitate technical planning code reviews and ensure high-quality code and operational standards across projects
Evaluate the technical tradeoffs of major decisions and be a strong technical mentor
Manage and mentor a team of engineers in a fast-paced quick-to-market environment
Hire grow and retain high-performing team members

Knowledge Skills & Abilities:

Track record of delivery ML-based backend products at scale in rapidly changing highly collaborative multi-stakeholder environments
Track of record of extensive collaboration with Product Design and Data science functions to build consumer-facing ML-based products
Solid understanding of machine learning approaches and algorithms especially generative models (e.g. GANs diffusion models transformers/LLMs) and a proven track record of applying them to deliver impactful product solutions
Able to stay up-to-date with research and are excited about prototyping new ideas quickly
Strong management and mentorship skills fostering a collaborative and innovative team culture via positive leadership
Excellent verbal and written communication skills with meticulous attention to detail
Ability to effectively collaborate with stakeholders at all levels both internally and externally
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
Experience leading machine learning teams teams that focus on Gen AI
Proven track record of supporting technical teams
Strong problem solving skills and background in machine learning
Masters / PhD degree in Computer Science (In lieu of degree relevant work experience)
History of involvement in product roadmapping and decision making

Preferred Qualifications:

Experience with visual Gen AI models for Image and Video generation and Editing
Experience with evaluating the visual quality of Image and video models
Proven track of closely collaborating with Product Design and Software Engineering teams for launching consumer-facing Gen AI or ML-powered products
Experience working with large-scale machine learning frameworks such as TensorFlow Caffe2 PyTorch Spark ML scikit-learn or related frameworks
Experience working with machine learning ranking infrastructures and system designs
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:

Manager