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POSITION ANNOUNCEMENT
Skytree
http://talentdesk.com/job/29687/skytree-inc/high-performance-machine-learning-rd-developer
High-performance Machine Learning R&D Developer
Location San Jose, CA
Category Computer / Software
Be Part of Something Extraordinary.
Skytree is "The Machine Learning Company".
Skytree has brought state-of-the-art machine learning to the
enterprise, reaching levels of performance far beyond what had
been previously available.
Machine learning is not just a bullet point for us - it's what we
make, our only focus, and no one does it better.
The world's top companies are starting to rely on Skytree's
breakaway technology- which hasn't gone unnoticed.
"10 Hot Big Data Startups to Watch" in CIO magazine June 12, 2013
and our recent $18M expansion April 30, 2013.
High-performance Machine Learning R&D Developer
The ideal candidate is excited about joining our team's mission to
bring the very edge of research (machine learning, algorithms, and
applied mathematics) to the most pressing challenges of modern data
analysis problems across industry, by helping us to continue to
define and create the ultimate machine learning system.
Case-by-case consideration will be given to candidates with
experience as professors or well-published researchers at major
R&D labs, for a special senior version of this position -- please
highlight interest in this if applicable.
Responsibilities:
* Design and high-performance implementation of state-of-the-art
machine learning methods, including new/custom methods,
drawing from all techniques of machine learning and statistics,
as well as algorithms/data structures, optimization, linear
algebra, computational geometry, graph theory, discrete
mathematics, and parallel algorithms/data structures.
Required skills & experience:
* PhD in mathematical fields including computer science, pure or
applied mathematics, electrical engineering, theoretical or
applied physics, machine learning, statistics, etc.
* Expert/research-level experience in designing and implementing
mathematical methods, as demonstrated by publications in premier
research conferences/journals and/or high-impact mathematical
applications. Please include your publications, if any.
* Expert-level programming in C++ in a Linux environment, with a
strong MPI based high-performance computing experience.
* Excellent communication skills including fluent spoken and
written English, and professional interaction and demeanor.
Strong candidates will also have experience in the following:
* Experience in mid to large scale coding projects with multiple
developers and a set release schedule, using techniques/tools for
bug tracking, code reviews, smoke testing, unit testing, and
version control.
About Skytree Inc.
Skytree, Inc. is a quickly growing company focusing exclusively on
next-generation industrial-scale machine learning software, which
is up to 10,000x faster than existing solutions, based on two
decades of practical experience with massive data as well as deep
roots in academia.
Skytree brings the best research-level knowledge in machine
learning, high-performance computing, computer systems, and data
visualization to the challenge of creating the most powerful
machine learning system possible.
Skytree's customer base spans the most fundamental mission-critical
data analysis problems in the largest private and public
institutions in all areas, from medicine to finance to social
media.
A successful candidate for Skytree will be a person who enjoys
academic-level technical sophistication, the highest standard of
performance and production quality, and a different technical
challenge every week.
Skytree's team of academic experts includes Professors Alexander
Gray (CTO), Leland Wilkinson, (VP Data Visualiszation), Michael
Jordan (Berkeley), David Patterson (Berkeley), Pat Hanrahan
(Stanford), and James Demmel (Berkeley), as well as a number of
other top researchers in key areas. SkytrDee's engineering team
is led by Dr. Tim Marsland (VP of Enginering).
For Agencies: Skytree does not accept unsolicited resumes/CVs from
agencies or recruiters, via this site or any company e-mail
address. All unsolicited resumes sent to Skytree will be considered
our property. Skytree, Inc. is not responsible for any fees
associated with such unsolicited resumes/CVs.
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