Job Description

A key qualification of the candidate is the ability and passion to create new ideas, analyze complex systems, formulate mathematical solutions and implement machine learning workflows that are practical for use in production. The candidate is expected to possess good oral and written communications skills, and domestic or international travel involved for up to 20% (supporting customer betas or visiting/training in Asia/US, etc.)Detailed responsibilities include: Evaluating and improving DL/ML training sets and associated workflow processesEvaluating and improving DL/ML learning model performanceComparing and assessing various DL/ML learning modelsEvaluating 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 lifecyclesWorking with product engineering teams to define performance specifications and deliver to those specificationsProviding technical support during product demos and beta testing, working with domain experts from other functional teams on customer engagement projects Preferred QualificationsStrong background in at least one of the following areas: image processing, computer vision, pattern recognitionExcellent mathematical and analytical skillsProficiency in C/C++, Python, Linux shell scripting, and object-oriented programmingAbility to learn/ work with source code control softwareGood oral and written communications skillsAbility to manage multiple tasks and prioritize work Minimum QualificationsDoctorate (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