Machine Learning Engineer

The Job

We are looking for a highly motivated and passionate engineer with expertise in machine learning, computer vision, and software engineering to join our interdisciplinary team of medical imaging researchers at NYU Langone Health. This is a unique opportunity to contribute to the improvement of human health through novel applications of machine learning to medical imaging.

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, testing/ validation of models to ensure clinical relevancy, and deployment of models in real clinical setting
  • 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
  • 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

  • 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 deploying machine learning models in real-world environments
  • 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

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.

Our Center is at the forefront of the development, validation, and clinical integration of machine learning methods for medical imaging. A crucial part of our vision is to translate such developments into clinical practice whenever possible.

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 areas to promote creativity and nurture an environment conducive to breakthrough innovations at the forefront of biomedical research. Our research partnerships include collaborations with Facebook AI Research and Siemens Healthineers.


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]

Sponsors

Latest Updates

05/13/2021 - 16:37
05/10/2021 - 10:05
04/12/2021 - 15:19

Philanthropic Support

We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
 
• The Big George Foundation
• Bernard and Irene Schwartz

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