Mount Sinai Health System · 3 months ago
Machine Learning Engineer I - Windreich Department of Artificial Intelligence & Human Health (On Site)
New York, NY
Full-time
Onsite
Entry Level
$109K/yr - $164K/yr
2+ years expMount Sinai Health System is one of the largest academic medical systems in the New York metro area, and they are seeking a skilled Machine Learning Engineer I to join their SinAI Assurance Lab. The role involves designing, maintaining, and optimizing data infrastructure and model validation pipelines to ensure AI systems are rigorously validated for compliance, performance, and patient safety.
Health CareHospitalMedical
Responsibilities
Build and maintain robust ETL pipelines for structured and unstructured clinical data from EHR, imaging, and text sources
Design systems to automate data preparation, lineage tracking, and reproducibility for AI model inputs and outputs
Develop data infrastructure for benchmarking and stress-testing models in clinical simulation environments
Collaborate with DevOps and cloud teams to ensure deployment pipelines meet compliance and performance standards
Set up and monitor model tracking infrastructure for evaluation metrics and drift detection
Assist in the development of standards and procedures affecting data management, design and maintenance. Documents all standards and procedures
Engineer and maintain pipelines that support pre-deployment model validation and post-deployment monitoring
Collaborate with Data Scientists and Clinical Product Owners to validate data integrity, reproducibility, and fairness in AI workflows
Ensure compliance with HIPAA, ethical guidelines, and institutional governance policies on sensitive health data use
Build dashboards and tools that provide observability across the ML lifecycle: data, models, outcomes
Effective communicate technical findings related to model and data integrity to governance teams, clinical stakeholders, and leadership
Maintain clear and well-organized documentation of data workflows, platform architecture, and validation processes
Help write internal reports on data infrastructure resilience, validation system status, and operational risk
Stay informed on industry best practices in data engineering and healthcare-focused machine learning
Possess an extremely flexible attitude. Willing to work with multiple types of technologies and languages with an open mind and without technology bias. Continuous interest in updating skill sets and knowledge of trends in the Big Data Technology space
Work closely with cross-functional teams including data scientists, healthcare providers, and IT professionals to understand data requirements, develop solutions, and support data-driven decision-making
Other duties as assigned
Qualification
Required
Bachelor's degree in Computer Science, Statistics, Mathematics, or related field; Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Information Technology, Mathematics, Physics) is preferred
2+ years of experience in data engineering, software engineering, or machine learning
Proficient in Python and SQL
Proficiency in at least one cloud computing platforms (e.g., AWS, Azure, GCP)
Intermediate knowledge of Machine Learning
Familiarity with ML lifecycle management tools (e.g., MLflow, Kubeflow, Airflow)
Experience on deployment and operationalization of ML Systems
Experience with monitoring tools for AI model tracking
Understanding of DevOps principles, CI/CD pipelines, and containerization (e.g., Docker, Kubernetes)
Experience with version control systems (e.g., Git)
Knowledge of big data technologies (e.g., Hadoop, Spark)
Strong problem-solving skills and ability to work in cross-functional teams
Company
Mount Sinai Health System
Mount Sinai Health System delivers integrated medical care, research, and medical education through its network.
10001+ employees
H1B Sponsorship
Mount Sinai Health System has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (3)
2023 (26)
2022 (20)
2021 (6)
2020 (20)
Funding
Current Stage
Late StageTotal Funding
$41.9MKey Investors
National Institutes of HealthHearst Health Prize.Multiple Myeloma Research Foundation
2024-11-11Grant· $7M
2024-06-06Grant· $0.1M
2023-11-02Grant· $7M
Leadership Team
Vincent Tammaro
Executive Vice President and Chief Financial Officer
David Feinberg
Senior Vice President, Chief Marketing and Communications Officer
Recent News
Digital Journal
2026-01-08
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