Machine Learning Engineer, Audio, Snapchat

Location: Seattle, Washington

Posted: 9/2020

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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 Engineer to join our Perception team at Snap Inc! Working from our Seattle office, you’ll collaborate with engineers and designers to find ways to apply machine learning and deep learning to create exciting products and breakthrough interactive experiences for millions of Snapchatters around the world.

What you’ll do:

• Develop machine learning and deep learning solutions across the entire machine learning workflow from data collection to model training, and solve audio-related tasks such as audio classification, audio recognition, music information retrieval and audio-visual learning.

• Apply findings from cutting edge research to help solve challenging product problems

• Work with product teams and engineers to make applications of audio understanding ubiquitous to Snapchat

Knowledge, Skills & Abilities:

• Ability to read and implement related academic literature in deep learning and audio processing

• Solid understanding of the production machine learning workflow

Minimum Qualifications:

• Bachelor’s degree in a technical field such as computer science or equivalent experience

• 5+ years of industry engineering or research and development experience

• Experience in one or more of the following: audio classification, audio recognition, music information retrieval, audio-visual learning

• Experience with TensorFlow, PyTorch, or related deep learning framework

Preferred Qualifications:

• Masters/PhD in a technical field such as computer science or equivalent industry experience

• Publications in top-tier conferences such as ICASSP and ISMIR

• Experience building large-scale machine learning systems or audio understanding applications

• A passion for Snapchat and creativity!