ML Research Engineer: Multimodal Medical Imaging AI

NYU Langone Hospitals; New York (NY); Hybrid; USD 85,000 - 110,000; Full time

Job summary

NYU Grossman School of Medicine invites applications for a Research Engineer specializing in machine learning and medical imaging. You will build and deploy ML models within clinical workflows, collaborating with clinicians and engineers to validate and operationalize models on large-scale medical imaging datasets and other modalities.

The role emphasizes developing infrastructure and pipelines, adhering to regulatory standards, and advancing ML innovations in healthcare.

Qualifications

• Masters or higher in a technical field; strong foundation in ML, statistics, probability, optimization, experimental design.
• Experience building ML models with large-scale datasets and deploying them in real environments.
• Proficiency with ML frameworks and CV/NLP libraries (PyTorch, TensorFlow, scikit-learn, transformers, OpenCV).
• Proficiency in Python; ability to work independently in a multidisciplinary team.

Responsibilities

• Contribute to design, training, and evaluation of large-scale foundation models across multimodal data.
• Handle dataset extraction and curation, model training, testing, and validation for clinical relevance.
• Analyze model deficiencies and propose refinements to improve outcomes.
• Perform data analysis to extract patterns and improve modeling of complex data.
• Create and maintain infrastructure and data pipelines.
• Adapt ML architectures to GPUs and distributed clusters.
• Ensure SOPs and regulatory/compliance alignment.

Skills

ML fundamentals

Statistics & probability

Model deployment

Python scripting

Independent worker

Education

Master's degree in CS/CE/biomedical Eng/Applied Math

Bachelor's with 1 year experience

Tools

PyTorch

TensorFlow

scikit-learn

OpenCV

Transformers

Job description

NYU Grossman School of Medicine invites applications for a Research Engineer specializing in machine learning and medical imaging. You will build and deploy ML models within clinical workflows, collaborating with clinicians and engineers to validate and operationalize models on large-scale medical imaging datasets and other modalities.

The role emphasizes developing infrastructure and pipelines, adhering to regulatory standards, and advancing ML innovations in healthcare.