Research Engineer, Machine Learning at Snap Inc
Los Angeles, California, United States
🇺🇸 (Posted Nov 23 2018)
About the company
Snap Inc. is a camera company. At Snap, we believe that reinventing the camera represents our 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.
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 Research Engineer to join Team Snapchat! As a member of the Augmented Reality team, you will train state of the art Machine Learning models. Working closely with the Research team, you will collaborate with engineers and designers and find new ways to apply machine learning to create exciting products and breakthrough interactive experiences for millions of Snapchatters around the world.
What you’ll do:
Design and implement machine learning and computer vision solutions to be used by millions of Snapchatters
Develop deep architectures and optimization techniques for cutting-edge solutions
Write production software used by millions of Snapchatters
Learn new techniques and stay on the cutting edge
Introduce major innovations that can lead to new product features or new areas of business
Work closely with other Snap teams to explore and prototype new product features
Skills & requirements
Master's degree in a technical field such as computer science (or equivalent experience)
1+ years of applied machine learning experience
Experience with deep learning frameworks (e.g. TensorFlow, Caffe2, PyTorch)
Software engineering skills (C++, Python)
PhD in a technical field such as computer science
A passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
Specific expertise in any of the following fields is a plus: Segmentation, Object detection, classification, and GANs.
Great communication, presentation, and interpersonal skills
Examples of your work such as open source projects, blog posts, Kaggle contests, etc.