Job Description

**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), deep learning training algorithms, applications, and inference frameworks to analyze data and develop predictive algorithms to identify major modulators and develop methodologies to automate the analysis and quantification of targeted features in nondestructive imaging datasets. You will be extracting 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 cross-functional engineering teams to identify analytical gaps and opportunities for improvement using AI/ML protocols, develop innovative solutions, conduct laboratory experiments to validate numerical results, and oversee the successful implementation of these solutions. 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:** Minimum Qualifications: + Must have a master's in computer science, Data Science, or related field. + Minimum six months of experience in Python, C/C++, Java, SQL, JavaScrip, Matlab programming. + Minimum six months of experience on PyTorch and TensorFlow. + Minimum six months of in database management and development using tools like MySQL, PostgreSQL, and MongoDB. + Minimum one year of experience using machine learning / artificial intelligence tools. + Six months of experience using deep learning methodologies. Preferred Qualifications: + Minimum three months of experience on feature detection automation on imaging datasets obtained with 2D/3D X-ray systems. + Minimum 3 months of experience with ultrasound imaging equipment. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. **Job Type:** College Grad **Shift:** Shift 1 (United States of America) **Primary Location:** US, Arizona, Phoenix **Additional 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 Trust** N/A **Benefits:** 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: Annual Salary Range for jobs which could be performed in the US: $98,390.00-$138,900.00 **S** **al** **ary** **range** **dependent on a number of factors including location and experience.** **Work Model for this Role** This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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