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© All Rights Reserved. ApplyBlast.com
Snap Inc.
The Computer Vision & Machine Learning Engineer role at Snap Inc. focuses on solving critical challenges in ultra-low-light and high-temporal-resolution imaging for next-generation wearable devices. The position involves developing novel algorithms for photon-efficient, event-driven imaging systems and pushing the boundaries of augmented reality technology. This role requires close collaboration with Snap's global hardware and software teams to deliver advanced computer vision solutions.
Headquarters
Santa Monica, California, United States
Company Size
5001-10000 employees
Founded
2011
Snap Inc. is a camera and social media company best known for Snapchat, a multimedia messaging app that lets people express themselves with photos, short videos, Bitmoji, ephemeral Stories, and augmented reality Lenses. Beyond the consumer app, Snap builds AR tools and developer platforms (Lens Studio, Snap Kit), consumer hardware (Spectacles), and a suite of advertising and measurement products for brands and publishers. Advertisers and developers choose Snap for its large, engaged Gen Z and millennial audience, immersive AR capabilities, creative ad formats, and integrations that drive measurable engagement.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Snap Inc..
Snap Inc. didn’t post a salary, so this is our estimate from similar listings.
12% above the average for this role