Job/Intern Announcements
Following job/intern announcements are of interest to folks.
1. NYT: The Data Science Group at The New York Times is expanding, and we are hiring in data scientist / machine learning roles (http://bit.ly/nyt-datasci). The group focuses on developing and deploying machine learning solutions to meet newsroom and business challenges throughout the company. These challenges include prediction and prescription problems (e.g., supervised learning, targeting), resulting in a variety of internal data products: e.g., webapps, APIs, and slackbots. For examples of public-facing details on machine learning at The New York Times, see the URLs below for an interview [1], talk [2], news [3], or blog [4].
[1] http://www.columbia.edu/itc/ applied/wiggins/DSatW-wiggins. pdf
[2] http://www.youtube.com/watch? v=jy_4tljIFqY
[3] http://www.niemanlab.org/2015/ 08/the-new-york-times-built-a- slack-bot-to-help-decide- which-stories-to-post-to- social-media/
[4] http://bit.ly/AlexCTM
1. NYT: The Data Science Group at The New York Times is expanding, and we are hiring in data scientist / machine learning roles (http://bit.ly/nyt-datasci). The group focuses on developing and deploying machine learning solutions to meet newsroom and business challenges throughout the company. These challenges include prediction and prescription problems (e.g., supervised learning, targeting), resulting in a variety of internal data products: e.g., webapps, APIs, and slackbots. For examples of public-facing details on machine learning at The New York Times, see the URLs below for an interview [1], talk [2], news [3], or blog [4].
[1] http://www.columbia.edu/itc/
[2] http://www.youtube.com/watch?
[3] http://www.niemanlab.org/2015/
[4] http://bit.ly/AlexCTM
2. Adobe: Full-Time Positions in Big Data Experience Lab (BEL) at Adobe Research, San Jose, CA
Big Data Experience Lab (BEL) at Adobe Research (https://research.adobe.com/ about-the-labs/bigdata- experience-lab/) in San Jose is looking for full-time researchers to define and execute next generation machine
learning and AI research for digital marketing applications and services. Adobe Marketing Cloud (http://www.adobe.com/ marketing-cloud.html)
is one of the largest data collection platforms in the world, managing
approximately 35 petabytes of customer data and
processing one trillion transactions per quarter. But it's not just the
quantity of data - it's the quality of the work that makes this an
amazing time to be at Adobe Research. BEL has excellent publication
record with dozens of papers at top-tier machine
learning and AI conferences and journals in recent years. Join us to
turn data into impact as you analyze unique problems, draw inferences,
test theories, and see your theories come to life in solutions that help
our customers rack up business successes. If
you're interested in the problems related to finding information hidden
in large data sets, then Adobe Research is your opportunity to make a
huge impact on the academic community as well as our customers, who
represent the top 10,000 biggest web and mobile
businesses.
We accept
applications throughout the year. The application should include a brief
description of the applicant's research interests and past experience,
plus a CV that contains the degrees, GPAs, relevant
publications, names and the contact information of references, and
other relevant documents. To apply, please send your application to adoberesearchjobs@adobe.com.
3. Adobe: Machine Learning Internship at Adobe Research, San Jose, CA
Machine Learning Group in Big Data Experience Lab (BEL) at Adobe Research (https://research.adobe.com/ about-the-labs/bigdata- experience-lab/)
in San Jose is looking for interns to work on a range of problems
in machine learning, deep learning, digital marketing, and analytics.
Our interns will have opportunity to work on real-world terabyte-scale
problems in Adobe Marketing Cloud (http://www.adobe.com/ marketing-cloud.html).
The interns will be supervised by researchers
in the group who have excellent publication record with dozens of
papers at top-tier machine learning and AI conferences and journals in
recent years. The internship will
be in San Jose, California, at the heart of the Silicon Valley. The
duration of the internship is 12 weeks and it can start any time from April 1, 2017.
The successful candidate will be mentored and work closely with one or more of the following Adobe researchers:
- Yasin Abbasi Yadkori (http://webdocs.cs.ualberta. ca/~abbasiya)
- Hung Bui (https://sites.google.com/ site/buihhung)
- Mohammad Ghavamzadeh (http://chercheurs.lille. inria.fr/~ghavamza)
- Branislav Kveton (http://www.bkveton.com)
- Georgios Theocharous (http://www.adobe.com/ technology/people/san-jose/ georgios-theocharous.html)
- Nikos Vlassis (https://sites.google.com/ site/nikosvlassis)
- Zheng Wen (http://www.zheng-wen.com)
The deadline for the application is January 31, 2017. To apply, please send your application to machine-learning-internships@ adobe.com.
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