Sr Engineer I, AI at NYU Langone Health

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jul, 26

Salary

147000.0

Posted On

22 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TypeScript, JavaScript, SQL, C/C++, R, PyTorch, OpenCV, Deep learning, Computer vision, AWS, HPC, Docker, Git, PostgreSQL, React

Industry

Hospitals and Health Care

Description

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 [http://nyulangone.org], 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 to med.nyu.edu [http://med.nyu.edu/], and interact with us on LinkedIn [https://www.linkedin.com/company/nyulangonehealth/?viewAsMember=true], Glassdoor [https://www.glassdoor.com/Reviews/NYU-Langone-Health-Reviews-E121521.htm], Indeed [https://www.indeed.com/cmp/Nyu-Langone-Health/reviews], Facebook [https://facebook.com/NYUSchoolofMedicine], Twitter [https://twitter.com/nyuschoolofmed] and Instagram [https://instagram.com/nyuschoolofmed]. Position Summary: We have an exciting opportunity to join our team as a Sr Engineer I, AI. We are seeking a high-impact Senior Data Science Analyst & Engineer to bridge the gap between cutting-edge AI research and clinical application. In this role, you wont just be "training models"you will be architecting the entire lifecycle of computer vision systems that help prevent blindness and improve patient outcomes. You will join a multidisciplinary team where your code directly translates into clinical insights. From optimizing ophthalmic imaging for real-time analysis to training, scaling, and evaluating large-scale deep learning models; your work will define the next generation of ophthalmic diagnostics. Job Responsibilities: Design, develop, and deploy deep learning and computer vision models for ophthalmic imaging workflows (e.g. segmentation, anomaly detection, measuring/finding quantitative biomarkers, etc.) Build end-to-end machine/deep learning and CV systems: dataset curation and QA, annotation software/tooling, training/inference pipelines, and reproducible experiment tracking for clinical research use cases. Implement real-time imaging algorithms and GPU-accelerated pipelines to enable live or near-real-time analysis. Develop and maintain image annotation/analysis tools for model validation. Leverage HPC resources to train and evaluate large scale deep learning models. Architect cloud infrastructure for research software (using AWS or Azure services) with attention to HIPAA compliance. Collaborate closely with ophthalmologists, research staff, and imaging technicians to translate clinical requirements into measurable ML tasks. Contribute to publications, conference submissions, and grant proposals as needed. Minimum Qualifications: To qualify you must have a Technical Skills Languages: Python, TypeScript/JavaScript, SQL, C/C++, R, ML/AI: PyTorch, OpenCV, self-supervised learning, model evaluation & error analysis, GPU/CUDA optimization Software/Infrastructure: AWS (Terraform, Lambda, S3, EC2, RDS), HPC, Docker, Git, PostgreSQL, Electron.js, React/Next.js Qualified 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 standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal [https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf]. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $101,493.51 - $147,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here [https://cdn-static.findly.com/wp-content/uploads/sites/290/2017/04/pay-transp_formattedESQA508c.pdf]

Responsibilities

The role involves designing, developing, and deploying deep learning and computer vision models for ophthalmic imaging workflows. You will also architect cloud infrastructure and collaborate with clinical staff to translate medical requirements into measurable machine learning tasks.