Responsibilities will include:
- Evaluating and improving machine learning training sets and associated workflow processes
- Evaluating and improving machine learning model performance
- Comparing and assessing various machine 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
Preferred Qualifications
- PhD or MS in EE/CS or related field with 3-5 years’ experience
- Strong background in machine learning
- 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
- Good oral and written communications skills
- Ability to manage multiple tasks and prioritize work
- Experienced with source code control software
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years