Evaluating and improving DL/ML training sets and associated workflow processes
Evaluating and improving DL/ML learning model performance
Comparing and assessing various DL/ML learning models
Evaluating and implementing algorithms to improve signal to noise ratio from variety of image conditions (i.e., extracting information from noisy images)
Working with local and global teams in all phases of product lifecycles
Working with product engineering teams to define performance specifications and deliver to those specifications
Providing technical support during product demos and beta testing, working with domain experts from other functional teams on customer engagement projects
Minimum Qualifications
Preferred Qualifications
Strong background in at least one of the following areas: image processing, computer vision, pattern recognition
Excellent mathematical and analytical skills
Proficiency in C/C++, Python, Linux shell scripting, and object-oriented programming
Ability to learn/ work with source code control software
Good oral and written communications skills
Ability to manage multiple tasks and prioritize work
Minimum Qualifications
New college graduates in any of the following degree: Ph.D., Dual Degree, Masters, or Bachelors. (Candidates from EE, CS and Mathematics background would be preferred)