[4eyes] FW: Open positions in vision, computational photography, and machine learning

[Matthew Turk]

FYI

 

From: Marc Levoy [mailto:levoy at google.com] 
Sent: Monday, October 31, 2016 10:45 PM
Subject: Open positions in vision, computational photography, and machine learning

 

Colleagues,
 
tl;dr. My team at Google is scaling up, and looking to hire 10 or more people
in the next year in vision, computational photography, and machine learning.
 
 
Some background: as you may have heard, the Google Pixel and Pixel XL
smartphones were recently rated the best mobile camera in the world:
    https://www.dxomark.com/Mobiles/Pixel-smartphone-camera-review-At-the-top
 
More importantly, reviews of the phone and its camera have been strong, with
reviewers singling out HDR+ as a key feature, and many reviewers saying that
the Pixel's camera is better than iPhone 7's:
    http://www.theverge.com/2016/10/27/13425282/google-pixel-camera-auto-hdr-low-light-feature
    http://www.theverge.com/circuitbreaker/2016/10/29/13466786/google-pixel-photo-better-than-iphone
 
As you might expect, these headlines have generated excitement in Google's
executive suite.  One upshot of this buzz is that Google plans to double down
on mobile photography and novel camera experiences.  This means hiring more
people, and since my team wrote HDR+, we're front and center in this effort.
As a result, I am looking to immediately hire 10 or more people with skills in
computer graphics, computer vision, computational photography, computational
video, languages, camera hardware, embedded systems as they relate to graphics
and vision, and machine learning.  For the last one, I'm looking for ML people
who have also pushed pixels.
 
>From academia I'm particularly interested in graduating PhD students, although
I'll consider talented MS graduates.  Applicants must be strong coders
(including C or C++), passionate about photography and video, and preferably
know enough about machine learning to hit the ground running on projects that
combine ML with computational photography.  As most readers of this email will
know, my team open sources some of our projects, most notably Halide, and we
encourage publication.  For example, Jon Barron just won Best Paper Honorable
Mention at ECCV 2016 for his paper on the fast bilateral solver, and we have
three papers appearing at SIGGRAPH Asia 2016, including one about HDR+ ("Burst
photography for high dynamic range and low-light imaging on mobile cameras",
by Samuel Hasinoff et al.)
 
So please ask your interested graduating students to send an email to me,
levoy at google.com <mailto:levoy at google.com> .  Readers should also feel free to ping their friends and
colleagues who have already graduated and are looking for new opportunities
(in the Bay Area).  We also have a few Summer 2017 internships available.
 
-Marc Levoy
 Principal Engineer
 Google Research
 
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