Machine Learning Engineer Manager
London - 50 Cowcross Street
Snap Inc.
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 Company’s 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 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 Company’s 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.
Snapchat is a camera and messaging app that connects people to their friends and the world. Every day around the globe, millions of people use Snapchat to communicate with friends, build relationships, play, and learn. No matter where you are or how you express yourself, it’s always the fastest way to share a moment!
We’re looking for a Machine Learning Manager to join our Generative ML Platform team!
What you’ll do:
Our team is building state-of-the-art tools for internal and external creators based on generative ai. This includes generation and editing of images, videos, 3d objects and even complete AR experiences. You will:
Drive the technical and organizational roadmap for the engineering team
Lead and grow a team of exceptional machine learning engineers
Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions
Develop deep architectures and optimization techniques for cutting-edge solutions
Create products that are used by millions of Snapchatters
Learn new techniques and stay on the cutting edge of machine learning technology
Design and implement machine learning and computer vision solutions to be used by millions of Snapchatters
Introduce major innovations that can lead to new product features or new areas of business
Partner with cross functional Snap teams to explore, prototype, and ship new features
Knowledge, Skills & Abilities:
Up-to-date with the latest research in machine learning and computer vision
Up-to-date with the State of the art in the GenAI field
Knowledge of mathematics and deep learning foundations
Knowledge of basic computer vision algorithms
Strong computer science fundamentals
Strong communication, presentation, and interpersonal skills
Ability to lead and represent the team’s goals and projects with cross-functional business partners and leaders
Minimum qualifications:
BS in a technical field such as computer science or equivalent years of experience
8+ years of machine learning experience
2+ years of experience managing a team and technical leadership
Strong track record of leading machine learning projects
engineering experience with generative models (e.g. diffusion models, GANs, VAE, etc.)
Preferred qualifications:
Experience developing real-time ML solutions for mobile applications
Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
Excitement about Snapchat and our products
If you have a disability or special need that requires accommodation, please don’t 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 we’ve 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 Snap’s long-term success!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Classification Computer Science Computer Vision Deep Learning Diffusion models Engineering GANs Generative AI Generative modeling Machine Learning Mathematics Open Source Research
Perks/benefits: Career development Health care Medical leave Parental leave
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