ML Engineer

NYU Langone Health • New York, NY

1d • $70,482 - $91,266

About The Position

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.

Requirements

• Masters degree in Data Science, Computer Science, or a related field (or a Bachelors with 3+ years of equivalent 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).

Nice To Haves

• 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.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees