Job posting: Sr. machine learning scientist

[Juhn Maing]

JOB POSTING:  SENIOR MACHINE LEARNING SCIENTIST

UtopiaCompression (UC) is an early-stage, intelligent imaging solutions
company. UC's core offering is an intelligent image compression
technology, which was recognized in 2002 as one of the top emerging
technologies in the US by the National Institute of Standards and
Technology
(http://jazz.nist.gov/atpcf/prjbriefs/prjbrief.cfm?ProjectNumber=00-00-4
936). 
 

Job Description

UtopiaCompression is looking for a highly qualified candidate with
extensive experience and knowledge in machine learning, data mining and
knowledge discovery. The candidate is required to have an MS or Ph.D. in
the areas mentioned above from a highly reputable university.
Post-doctorate and/or industry experience is strongly preferred. The
ideal candidate will be thoroughly versed in the latest research,
methods, developments and theories in machine learning and data mining
as well as possess in-depth experience applying them to commercial,
scientific or industrial applications. The candidate is also required to
be a visionary, highly creative and a great problem solver capable of
proposing solutions to multiple problems in parallel, and mentoring and
guiding R&D engineers in developing and implementing the solutions.
Permanent residents or US citizens are preferred.

This position is ideally suited for full-time employment, but part-time,
contract and contract-to-hire arrangements may also be considered.
 

Skills & Qualifications

1 - In-depth knowledge and experience in statistical analysis, reasoning
and learning (e.g., Bayesian learning, estimation maximization and
maximum likelihood algorithms, and feature extraction problems),
(statistical) combinatorial optimization and learning (e.g., simulated
annealing, genetic programming), neural networks, inductive and rule
generation learning, fuzzy reasoning, (numeric) decision tree learning,
search methods, (image) data mining and understanding, etc. Candidates
are expected to have knowledge and working experience in various
learning regimes. For instance, in the case of layered neural nets
dexterous familiarity with the back propagation algorithm, radial basis
functions, etc., in decision tree learning working experience in
information gain measure, category utility function, tree pruning, etc.

2 - Dexterous familiarity with various machine learning and statistical
software tools.

3 - Fluency in software analysis, design and development using C
programming environment. Candidates must be well versed and experienced
in C. Working experience in C++ (and Java) is a plus.

4 - Knowledge and working experience with image compression techniques,
and image analysis and processing is a big plus.


Contact:

Juhn Maing
Product Manager
UtopiaCompression
Tel: 310-473-1500 x104
Email: juhn at utopiacompression.com