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Manager, Machine Learning Engineer

AT Snap
Snap

Manager, Machine Learning Engineer

Los Angeles, CA

Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.

Snapchat is the camera used by millions of people every day to Snap with family, watch Stories from friends, see events from around the world, and explore expertly curated content from top publishers. In short, we are a passionate team working hard to build the best platform in the world for communication and storytelling.

We’re looking for a Machine Learning Manager to join Team Snapchat at our headquarters in Los Angeles, CA! As a member of the Augmented Reality Team, you will train state-of-the-art machine learning models. You will lead a team of machine learning engineers to find new ways to apply machine learning to create exciting products and breakthrough interactive experiences for 100s of millions of Snapchatters around the world.

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What you’ll do:

  • 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

  • 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

  • Work closely with other Snap teams to explore, prototype, ship new features

Knowledge, Skills & Abilities:

  • Up-to-date with the latest research in machine learning and computer vision

  • Knowledge of mathematics and deep learning foundations

  • Knowledge of basic computer vision algorithms

  • 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

  • 5+ years of machine learning experience

  • 2+ years of experience managing a team or technical leadership

  • Research or engineering experience in face tracking or one of the following: generative models (GANs, VAE, Glow), segmentation, object detection, classification

Preferred Qualifications:

  • Master's degree or PhD in a related technical field

  • Strong track record of leading machine learning projects

  • Experience with 3D geometry  

  • Experience developing real-time software 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

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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at accommodations-ext@snap.com.

Client-provided location(s): Los Angeles, CA, USA
Job ID: 43b717fc8782768efdac8454b86eb83071089e3bc8a4142ec9ca152a0fcbc673
Employment Type: Other