Research Engineer, Machine Learning at Snap Inc.
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. You will collaborate with researchers, engineers, and designers and find new ways to apply machine learning to create exciting products and breakthrough interactive experiences for 100s of 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
Create products that are 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
Bachelor’s Degree in a technical field such as computer science (or equivalent experience)
Research or engineering experience in machine learning for computer vision tasks
Experience with deep learning frameworks (e.g. PyTorch, TensorFlow, Caffe2)
Strong software engineering skills (Python or C++)
A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
Master's degree or PhD in a related technical field
Specific expertise in one or more of the following: generative models (GANs, VAE, Glow), segmentation, object detection, classification, or other related applications of machine learning
Experience developing real-time software for mobile applications
Knowledge of mathematics and deep learning foundations
Knowledge of basic computer vision algorithms
Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
Communication, presentation, and interpersonal skills