Machine Learning Engineer Manager

Posted 4 Days Ago
Be an Early Applicant
London, Greater London, England
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
We believe the camera presents the greatest opportunity to improve the way people live and communicate.
The Role
The Machine Learning Engineer Manager will lead the Generative ML Platform team at Snap Inc. Responsibilities include driving the engineering roadmap, leading a team of machine learning engineers, designing and implementing machine learning solutions, and collaborating with cross-functional teams to innovate and deliver products used by millions.
Summary Generated by Built In

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!

Top Skills

Computer Vision
Machine Learning

What the Team is Saying

Xiaolin
Yvette
Matt
Jasmeet
Xueyin (Sherry)
Amir
Jung
Xu
The Company
HQ: Santa Monica, CA
5,000 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

Snap Inc. is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

Why Work With Us

Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Snap Inc. Teams

Team
Product + Tech
Team
Machine Learning @ Snap
About our Teams

Snap Inc. Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our “default together” approach is an 80/20 model where we are asking team members to spend 80% of the time, on average, in the office, with the remaining 20% of the time spent remote.

Typical time on-site: 4 days a week
HQSanta Monica, CA
Singapore
Amsterdam, NL
Austin, TX
Bellevue, WA
Berlin, DE
Boulder, CO
Chandler, AZ
Chicago, IL
Copenhagen, DK
Dallas, TX
Eindhoven, NL
Hamburg, DE
London, GB
Mumbai, IN
New York, NY
Oslo, NO
Palo Alto, CA
Paris, FR
San Francisco, CA
Seattle, WA
Sydney, AU
Toronto, ON
Vancouver, CA
Washington, DC
Learn more

Similar Jobs

Snap Inc. Logo Snap Inc.

Technical Advertiser Solutions Analyst

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
London, Greater London, England, GBR
5000 Employees

Snap Inc. Logo Snap Inc.

Machine Learning Engineer - GenAI

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
London, Greater London, England, GBR
5000 Employees

Snap Inc. Logo Snap Inc.

Machine Learning Engineer - Computer Vision

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
London, Greater London, England, GBR
5000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account