**Job title:** AI / Deep Learning Medical Image Analysis Intern **Your role:** + Collaborate with a team of scientists and engineers on a challenging research project aimed at solving real-world healthcare problems. + Apply novel machine / deep learning techniques on large-scale patient imaging datasets. + Design, train, and validate algorithms for image and video analysis, detection, and classification. + Conduct systematic experimental evaluations leading to scientifically sound conclusions. + Contribute to publication of the work. **You're the right fit if:** + Currently studying for a PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or Physical Sciences + Experience applying deep learning for medical imaging and conducting research in deep learning. + Strong proficiency in Python programming language and Pytorch library. + Experience processing and analyzing medical image data. Experience with ultrasound is a plus. + Self-motivated with ability to plan and execute research in a team environment. + Ability to communicate in English effectively, both written and verbal. **How we work together** We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. Indicate if this role is an office/field/onsite role. **About Philips** We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. * Learn more about our business. * Discover our rich and exciting history. * Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here. **Philips Transparency Details** The hourly pay range for this position is $34.00-46.00, plus overtime eligible. The actual base pay offered may vary depending on multiple factors including, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. Details about our benefits can be found here. At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case. **Additional Information** US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future. Company relocation benefits _will not_ be provided for this position. For this position, you must reside in _or_ within commuting distance the job posting location. It is the policy of Philips to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status or a person’s relationship or association with a protected veteran, including spouses and other family members, marital or domestic partner status, or any other category protected by federal, state and/or local laws. As an equal opportunity employer, Philips is committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance. Equal Employment and Opportunity Employer/Disabled/Veteran