Job Details:Job Description: This is a position in which the candidate will use software and develop custom scripts for the automated detection and quantification of features in microelectronic packages obtained with state-of-the-art analytical systems. You will be responsible to:Develop artificial intelligence / machine learning (AI/ML) based applications to analyze data and develop predictive algorithms to identify major modulators and develop methodologies to automate the analysis and quantification of targeted features in imaging datasets. Extract insights from structured and unstructured data by quickly synthesizing large volumes of data, and applying statistics, machine learning and coding techniques. You will collaborate with other engineers to identify potential analytical gaps that can be addressed using AI/ML protocols, develop them, execute laboratory experiments to validate numerical results, and ensure proper implementation. The candidate should possess the below behavioral skills:Problem solving, out-of-box thinking.Good communication and decision-making skills.Strong teamwork and planning/time management skills.Capable to deliver under pressure.Capability to work well in ambiguous situations.Mature, self-assured, well organized.Qualifications:QualificationsMinimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.Minimum Qualifications: - Must have a master's in computer science, Data Science, or related field.- Minimum 1 year of experience in Python, Java, SQL, JavaScrip programming.- Minimum 1 year of experience using machine learning / artificial intelligence tools.- Minimum 6 years of experience PyTorch and TensorFlow.- Minimum 1 year of experience using machine learning / artificial intelligence tools.Preferred Qualifications:- Minimum 1 year of experience on feature detection automation on imaging datasets obtained with 2D/3D X-ray systems.- Minimum 6 months of experience developing Graphic User Interfaces (GUIs).Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Job Type:College GradShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:Business group:As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits:We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.htmlAnnual Salary Range for jobs which could be performed in the US:$91,500.00-$137,436.00Salary range dependent on a number of factors including location and experience.Work Model for this RoleThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.