**Machine Learning Engineer - Clinical Imaging (Plymouth, MN)** You will join a high-performing team within the Image Guided Therapy Devices (IGT-D) Software R&D group based in Plymouth, MN and will be working on cutting-edge AI/ML features for our Intravascular Ultrasound (IVUS) Clinical Imaging Software Application. **Your role:** + Design and Development of machine learning models and algorithms that can learn and provide recommendations or support clinical decisions. Conducts model training, evaluation, and tuning to achieve optimal results. + Implements machine learning models into production software, ensuring they meet medical device regulatory standards. Monitors and maintains the performance of deployed models, focusing on patient safety and compliance. + Collaborates with data scientists to refine and improve model accuracy within clinical settings and writes detailed documentation for machine learning algorithms, model training, and evaluation processes, ensuring clarity for regulatory audits. Detail model deployment workflows and maintenance procedures, including compliance checks. + Conduct extensive testing of machine learning models, including unit tests and integration tests, to validate clinical efficacy and safety. Validates models in deployment environments (e.g., real-world clinical settings) and conduct root cause analysis for model performance drops or inconsistencies, with a focus on clinical outcomes. + Monitors models post-deployment for drift and retrains them as necessary to maintain clinical performance and safety. Debug problems in machine learning algorithms, training processes, and model deployment. + Ensures all machine learning development and deployment efforts comply with relevant regulations (e.g., FDA, MDR, ISO 13485, IEC 62304, ISO 14971). Participates in risk assessments, identifying and mitigating potential risks associated with the machine learning model. **You're the right fit if:** + You have 8+ years’ experience working as a Software Development Engineer with an emphasis on Artificial Intelligence / Machine Learning (AI/ML). 5+ years with a Master’s Degree. + You earned a Bachelor’s or Master’s degree in computer science, computer engineering, data science or a related discipline. + You have experience rolling out Deep Neural Networks (DNN) based products to customers and handling customer issues and working with deep learning frameworks like PyTorch, TensorFlow and Convolutional Neural Networks like UNet, ResUNet etc. + You’ve leveraged development tools like Visual Studio, Azure DevOps, Git and have experience with build and DevOps tools like CMake, Jenkins, Git actions, etc. + Experience with regulatory standards like IEC 62304, 82304, ISO 13485, ISO 14971 etc. would be preferred. + You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.  **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. This is an office-based 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 improve the lives of others. + Learn more about our business. + Discover our rich and exciting history. + Learn more about our purpose. + Learn more about our commitment to diversity and inclusion. **Philips Transparency Details** The pay range for this position in MN is $110,000 to $189,000. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity. In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. 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 to Plymouth, MN **.** \#LI-PH1 \#LI-Office 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