[robotics-worldwide] [jobs] Machine Learning Engineer, Cognitive Systems & Robotics

David Peters davidpeters at universalrobotics.com
Thu Dec 17 07:13:01 PST 2015


Job Description  
The job entails developing working with a dedicated, highly educated team of
engineers to develop and implement machine learning algorithms and robust
reactive robot control systems for Universal Robotics.   Among other tasks,
the engineer will design and use of analog and digital data acquisition and
analysis systems on embedded platforms.  The individual will work in a fast
paced, dynamic environment with a team of creative, high-performance
engineers.

Qualifications
. Minimum 2 years' experience in algorithm implementation using C/C++, or C#
(.NET framework), CUDA and Matlab.
. M.S/Ph.D. in Computer Science, Electrical Engineering, or Applied
Mathematics.
. Thorough knowledge and experience in supervised and unsupervised learning
methods such as SVMs, Neural Nets, Bayes nets and clustering techniques.
. Familiarity with reinforcement learning methods.
. Experience in sensor fusion techniques for pattern recognition.
. Expertise in time series analysis of high dimensional data and familiarity
with dimensionality reduction techniques.
. Experience in Machine Learning libraries such as WEKA, torch, etc.
. Knowledge of communication protocols such as USB, serial, I2C, for
communications between embedded systems and PCs.
. Experience in programming embedded systems
. Excellent verbal and written communications skills.
. Ability to work independently, without direct supervision.

The Company
Universal Robotics is using Artificial Intelligence and sensor data to
update control system behavior in real time.  The technology was developed
at NASA and Vanderbilt University.  Called Neocortex, Universal has
implementing the technology on industrial robots and other hardware to
improve automation and human/machine interaction. Most of the technical
staff have advanced degrees (PhD, MS), and are experts in robotics, vision,
machine learning, artificial intelligence, and 3D sensor technologies.

Location
Nashville, TN (Known for its high quality of life

Schedule
Full-time

Travel
None

Salary
Commensurate with experience
H1B & Green Card Sponsorship provided

David Peters, CEO
Universal Logic, LLC
Universal Robotics, Inc.
PO Box 171062
2518 Smith Springs Road
Nashville, TN  37217
Office  (615) 366-7281
Cell (310) 966-0222
www.universalrobotics.com





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