Job Description
Detailed responsibilities 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 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 both customer and algo 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
- Ph.D. 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, semiconductor defect analysis
- Excellent mathematical and analytical skills
- Proficiency in Python, Linux shell scripting
- Good oral and written communications skills
- Ability to manage multiple tasks and prioritize work
Minimum Qualifications
- Bachelor's Level Degree with at least 8 years of experience OR
- Master's Level Degree with at least 6 years of experience OR
- Doctorate (Academic) with at least 3 years of experience
Minimum Qualifications
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