Role overview
The research team at ECRS is looking for a talented, experienced individual who is fearless in tackling real world problems with efficient, practical Machine Learning (ML) solutions and demonstrate excellence in computer vision.
What you'll work on
- Research, design, develop and train new machine learning models or adapt and apply existing models and applications.
- Design or develop software systems using design and functional specifications, scientific analysis, good software development practices, and mathematical models.
Write, update, andmaintaincomputer applications and software packages to handle specific jobs based on machine learning.
Developand directsoftware system testing and validation procedures.
Review andmodifyexisting software to correct errors,adapt tonewhardware, andupgradeinterfacesand improve performance.
Direct software programming and development of corresponding documentation.
What we're looking for
- Experience with deep learning infrastructure is a plus.
- Experience with NLP is a plus.
- Proficiencyin statistical analysis is a plus.
- Experience with parallel computing technologies or distributed computing techniques is a plus.
*ALL APPLICANTS MUST BE AUTHORIZED TO WORK IN THE UNITED STATES.
ABOUT ECRS:**
ECRS is a fast-paced, progressive technology company with a wide range of opportunities for quality-oriented, career-minded individuals. Geographically situated in the heart of the Blue Ridge Mountains, ECRS offers the unique opportunity of a high-tech career in a resort college town setting. The ECRS family is made up of energetic, outgoing professionals who love what they do for a living. They are courteous, knowledgeable people who strive for excellence in everything they do. ECRS employees work together in dynamic teams to create, sell, install, and support our best-in-class retail automation solutions.
We believe that acceptance of diversity is a key reason as to why we're successful. All qualified applicants who can demonstrate integrity and competence will receive consideration for employment and advancement without regard to race, color, religion, gender, sexual orientation, disability, age, political affiliation, or national origin.