ML 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 to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.

Position Summary:
We have an exciting opportunity to join our team as a ML Engineer.

The MCIT Applied AI team is at the forefront of transforming healthcare delivery through the integration of emerging technologies. We are seeking a ML Engineer to join our clinical innovation hub. This role is dedicated to assessing the technical and clinical feasibility of innovative AI approaches within the NYU Langone ecosystem. You will build the technical scaffolding required to prototype, benchmark, and validate these technologies before they are scaled across the health system. Position will be reporting to Dr. Eran Halperin.

Job Responsibilities:

. ML Model Execution: Independently set up and run standard machine learning models (e.g., Random Forests, XGBoost, or baseline NLP models) on healthcare datasets to validate feasibility and establish performance baselines.
. Pipeline Development (ELT/ETL): Independently design and implement reliable data pipelines to ingest clinical and operational data. You will focus on efficient data movement and transformation using SQL and Python to create analysis-ready datasets.
. Benchmarking & Validation: Develop automated benchmarking suites to evaluate the performance, safety, and bias of new AI models against current clinical gold standards.
. Infrastructure & Security Integration: Collaborate with MCIT Security teams to ensure innovative AI tools meet HIPAA, SOC2, and internal governance standards during the pilot phase.
. Documentation & Reproducibility: Maintain high-quality code repositories and documentation so that every experiment is fully reproducible.

Minimum Qualifications:
To qualify you must have a Bachelor's degree or equivalent in computer science, engineering, mathematics, statistics, data science, or related field.
0-1+ Years of Experience.
Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
Familiar with machine learning concepts and techniques such as supervised and unsupervised learning, classification, regression, clustering, dimensionality reduction, etc.
Experience with data analysis, visualization, and manipulation tools such as Pandas, Numpy, Matplotlib, etc.
Knowledge of SQL and relational databases.
Good understanding of software engineering principles and practices such as version control, testing, debugging, etc.
Strong communication and teamwork skills.
Curious and eager to learn new technologies and methods.

Preferred Qualifications:
DO NOT USE THE MINIMUM QUALIFICATIONS ABOVE
Minimum Qualifications
. Education: Masters degree in Data Science, Computer Science, or a related field (or a Bachelors with 3+ years of equivalent experience).
. Experience: 1.5+ years of hands-on experience in data engineering or a data-heavy backend role.
. Technical Proficiency: Mastery of the Python data stack (Pandas, Scikit-learn, NumPy). Ability to write complex SQLjoins and window functions to extract data from large-scale databases (e.g., Epic Clarity).
. Independent Execution: Proven ability to build data pipelines from scratch and execute standard ML workflows with minimal daily supervision.
. ML Rigor: Strong understanding of model evaluation metrics (AUC, F1-score, Precision-Recall) and basic statistical significance testing.
. Healthcare Fluency: Basic understanding of clinical data structures (EHR tables, ICD-10, CPT codes).
Preferred Qualifications
. Deep Learning: Experience implementing, training, and fine-tuning deep learning models.
. Advanced AI: Experience building or evaluating modern AI models, such as AI Agents or RAG systems, is a significant advantage.
. Cloud Architecture: Familiarity with Databricks or Azure/AWS healthcare cloud environments.
. MLOps Familiarity: Experience with Docker, Kubernetes, or CI/CD pipelines is an advantage, but not critical.

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.

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 $70,481.61 - $91,266.00 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