Machine Learning Research Engineer
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We are looking for a highly motivated and passionate research engineer with expertise in machine learning, computer vision, and software engineering to join our interdisciplinary team of medical imaging researchers at NYU Langone Health.
Job Responsibilities
- Collaborate with researchers and clinicians to develop highly scalable algorithms for medical imaging based on state-of-the-art machine learning techniques
- Own the entire pipeline associated with developing such models, including extraction and curation of datasets, implementation and training of machine learning models, and testing/ validation of models to ensure clinical relevancy
- Contribute to model analysis to understand models' deficiencies and propose refinements to improve outcomes
- Contribute to fundamental data analysis to extract patterns from large datasets in order to acquire insights that to further improve machine learning models
- Create project plans, meet deadlines, and resolve technical problems
- Provide technical guidance to faculty and lab staff on projects at the intersection of machine learning and radiology
- Facilitate successful research collaboration among team members within and outside of the radiology department
- Create and maintain the necessary infrastructure and software pipelines
- Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments, such as GPUs and distributed clusters
Required Qualifications
- PhD or Master's degree in computer science or equivalent
- Thorough understanding of fundamental principles in machine learning, probability theory, statistics, and numerical optimization
- Experience in building machine learning models for real-world problems involving large scale datasets
- Experience in developing and debugging in scripting languages such as Python
- Familiarity with programming in low-level languages such as C/C++
- Experience working with machine learning and computer vision libraries, such as PyTorch, TensorFlow, and OpenCV
- Strong communication and leadership skills
Preferred Qualifications
- Technical understanding of the DICOM standard (NIfTI, FSL etc) and familiarity with radiology software, such as Vital, OsiriX, and PACS
- Prior exposure to or domain knowledge in machine learning applications in medical imaging
- Project Management Professional (PMP) certification
About Us
Our Center is operated the radiology department of NYU Langone Health, headquartered in midtown Manhattan. The research division comprises approximately 150 full-time personnel dedicated to imaging research, development, and clinical translation.
We focus on development of novel methods for rapid continuous comprehensive imaging, including but not limited to deep-learning image reconstruction and interpretation techniques, novel rapid MR acquisition and reconstruction strategies, innovative RF detectors and transmitters, new quantitative biomarkers for MRI and PET, and emerging MRI-based models of tissue microstructure.
We are a highly collaborative group and work in interdisciplinary, matrixed teams that include engineers, scientists, clinicians, technologists, and industry experts. We encourage collaboration across research groups to promote creativity and nurture an environment conducive to breakthrough innovations at the forefront of biomedical research.
Environment
Center for Advanced Imaging Innovation and Research (CAI2R) is operated by the department of radiology at NYU Langone Health. This arrangement brings together a vast amount of human and technological resources in basic magnetic-resonance science (physics, engineering, mathematics) and clinical applications (radiology, medicine, neurology, etc.).
Timeline, Salary, and Benefits
We expect the appointed candidate to start not later than in autumn of 2021. The initial appointment will be for a year, with an intention to renew, depending on mutual agreement. NYU Langone Health offers competitive pay and benefits.
We are committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, or disability.
To Apply
Email a CV and a short motivation letter to Yvonne.Lui@nyulangone.org, Sumit.Chopra@nyulangone.org, and Krzysztof.Geras@nyulangone.org. In the subject, include the string
[machine learning research engineer]
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Philanthropic Support
We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
• The Big George Foundation
• Bernard and Irene Schwartz
under award number P41EB017183.
© 2021 Center for Advanced Imaging Innovation and Research. All rights reserved. This content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Additional disclaimers.