Deep Learning & Computational Photography Developer at Polarr

San Jose, San Francisco, Mountain View · Full Time

Join an awesome team of 25 with PhDs and Graduates from Stanford and ex employees of Google, Microsoft, and Baidu to build A.I. tools to automate content creation and organization. Enjoy a studio-like environment with little to no investor pressure to relentlessly pursue UI/UX craftsmanship in products, with offices in Beijing and San Jose.

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Job Description

Polarr is looking for a M.S. or PhD in CS/EE/Math/Stats with strong research and engineering background to help develop new DL or CV based algorithms for computational photography.

About Polarr:

Polarr is a 3 years old startup company coming out of Stanford, and is already changing the landscape of photography by offering image editing and enhancement products spanned across iOS (best of App Store 2015), macOS (best of Apple Store 2016), Windows 10 (pre-installed in Asia), Linux, and ChromeOS (most popular photo editor on Chromebook). We went from zero to 10+ million users with no marketing of our products and became profitable within 2 years since the company was founded.

In addition to a strong line of consumer facing line products, we also power the technology behind some of the biggest hardware companies through licensing. Polarr is recently leveraging our position in the photography market to integrate usable A.I. / CV algorithms into our products, and contributed to the development of Metal and CoreML for Apple.

Polarr is closely linked with labs in Stanford and MIT, and actively follow researches from CVPR/ICCV.

Your role:

You will be working on enhancing various aspects of modern photography, from fake detection, denoise, super-resolution to quality / composition evaluation. Your work will be integrated into products used by Polarr's 10+ million photographer user base, as well as upcoming SDKs shipping to vendors and suppliers. You will also have opportunity to work other PhDs, or publish paper with other research labs around the world.

Requires skills:

1) 5+ years of experience in computer vision, artificial intelligence or machine learning.
2) Strong multivariate statistics, discreet math, linear algebra skills.
3) Had hands-on experiencing of using DL/ML frameworks and models.
4) Able to write clean, robust, and memory leak free code.

Good to have:

1) Strong knowledge of Javascript, Swift or Java.
2) Knowledge of OpenGL, WebGL or Metal Performance Shaders.


1) Ownership of technology and/or products.
2) Small, flat team dynamic with minimal politics.
3) 15 paid vacation days plus national holidays.
4) Free lunch every day.
5) Work from home every Friday.
6) Free travel opportunities to China.
7) Dental and health insurance.
8) We sponsor H1B and Greencard.

Interview Process:

We will first schedule an introductory call, after that, we don't have a technical interview other than having you finish an offline assignment. The assignment will take about a day to finish and will be used as the sole factor to measure your technical ability and fit for this role. If the team is happy about the assignment, we usually issue an offer within 48 hours. Our team does not pool candidates so offers are always based on first come first serve basis.

The assignment for this position is located at https://slack-files.com/T034U993N-F89GGLU4T-0bd64315c2

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What We're Building

Polarr puts big brain in small devices. We're a three years old startup company coming out of Stanford, focusing on building computer vision and A.I. systems into sophisticated applications.

As of 2018, We provide 18 million photographers image editing tools across iOS (best of App Store 2015), macOS (best of Apple Store 2016), Windows 10 (pre-installed in Asia), Linux, and ChromeOS (most popular photo editor on Chromebook). We develop highly experimental photographic A.I. in recommendation, evaluation, effects and real time processing. We have 20 employees and are already profitable.

Website and products US: https://www.polarr.co/
Digital Magazine/Blog: https://medium.com/@pixelmagazine
Twitter: @polarrist

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Borui Wang
Founder @Polarr@Forbes 30Under30 • Studied at @Stanford University • Worked at @Google, @Qualcomm , @University of Wisconsin, Madison
Mark Paraschuk
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Emily von Hoffmann
Journalist & content strategist. Editor of Pixel Mag by Polarr. Social at GitLab. Alumna of The Atlantic Fellowship. Hoya Saxa.
John Dustman
HR @Polarr. Previously Director of People Operations @Apropose, Director of Coffee @Red Rock Coffee. BS @Wabash College MS @Stanford University
Daniel Vershinin
Cocoa/iOS developer at @Polarr. Semibold Mammoth co-founder. Objective-C developer and UI/UX specialist.
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