Research Engineer

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go tomed.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, XandInstagram.Position Summary:We have an exciting opportunity to join our team as a Research Engineer. We are looking for a highly motivated and passionate Machine Learning Research Engineer to join our team who has expertise in machine learning, computer vision, and software engineering. This is a unique opportunity to work in the interdisciplinary area of machine learning and healthcare as you will not only work on developing machine learning models but will also have an opportunity to deploy the models in real clinical workflows, thereby enabling you to make a real-world impact by saving and/or improving the lives of real people.As an ML Research Engineer, you will be a part of an interdisciplinary group of research scientists, clinicians, and engineers. In close collaboration with your colleagues, you will help develop, validate, and deploy machine learning models. You will be responsible for building and maintaining the necessary infrastructure and software pipelines to facilitate this work. You will engage with interdisciplinary research topics and develop machine learning solutions for various complex and novel problems using large scale medical imaging datasets and datasets of other modalities. Lastly, you will operate under standard procedures and protocols in regulatory and compliance.Job Responsibilities:Job Responsibilities will include (but are not limited to): Minimum Qualifications:To qualify you must have a Masters degree in computer science, computer engineering, biomedical engineering, applied mathematics, or a related technical field; or a bachelors degree with at least one year of relevant work experienceStrong foundation in machine learning, statistics, probability, numerical optimization, and experimental designExperience building machine learning models, preferably using large-scale datasets and deploying them in real-world environments (on-premise or in the cloud)Expertise in modern machine learning frameworks, and CV and NLP libraries (PyTorch, Tensorflow, scikit-learn, transformers, OpenCV, etc.)Proficiency developing and debugging in scripting languages such as PythonAbility to work independently while collaborating effectively in a multidisciplinary team environmentPreferred Qualifications:Familiarity with radiology standards and software is beneficial but not required (DICOM, NIfTI, PACS, FSL, etc)Prior exposure to, or some domain knowledge of, machine learning applications in medical imaging and/or medical textQualified candidates must be able to effectively communicate with all levels of the organization.NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standa