About this opportunity
NYU Langone Hospitals lists this Machine Learning Engineer opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Position Summary
We have an exciting opportunity to join our team as an Engineer II – Applied AI. As an ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will drive specific projects forward in collaboration with data scientists, business units, and IT partners across various verticals including corporate services, the office of science and research, clinical, and pathology.
Job Responsibilities
Design and implement AI/ML applications using our technology stack and best practices in software development.
Collaborate with data scientists to build and fine‑tune high‑performing AI models and implement modern techniques from relevant published papers.
Develop scalable and robust pipelines to support large data‑processing tasks.
Implement internal security and data protection standards in AI applications; maintain AI system risk and security practices.
Support the team in preparing for technical reviews and internal documentation (architecture, IT security, AI).
Collaborate with stakeholders to meet team objectives; gather feature requirements, identify AI opportunities, create tickets, participate in backlog refinement, execute tickets, and conduct code review.
Stay updated with the latest industry trends and advancements in AI and cloud technologies; share and demonstrate learnings with the team.
Provide technical guidance and coaching to less experienced team members.
Participate in all phases of AI software development life cycle, including analysis, prototyping, development, evaluation, testing, deployment, refactoring, and technical support.
Minimum Qualifications
Bachelor's degree in computer science, software engineering, or a related field.
1–3 years of hands‑on experience in AI solution development.
Strong programming skills in Python or other languages commonly used in AI development.
Substantial knowledge of AI, machine learning, and deep learning.
Experience with AI platforms such as PyTorch or TensorFlow.
Experience building large‑scale and/or compute‑intensive applications on clusters (HPC, Spark, Kubernetes).
Understanding of software development principles and methodologies, including data structures, data modeling, and software architecture.
Excellent problem‑solving skills and the ability to work in a team environment.
Excellent verbal and written communication skills.
Preferred Qualifications
Master's degree in computer science, data science, software engineering, or a related quantitative discipline.
3–5 years of hands‑on experience in AI solution development.
Basic understanding of at least one cloud platform (Azure, AWS, GCP) and cloud‑native development tools, and experience using their AI/ML toolchain.
Qualified candidates must be able to effectively communicate with all levels of the organization.
Benefits: NYU Grossman School of Medicine offers a comprehensive benefits and wellness package including financial security benefits, a generous time‑off program, employee resource groups, and a holistic wellness program focused on physical, mental, nutritional, sleep, social, financial, and preventive care. These programs are designed to support employees at all stages of life.
NYU Grossman School of Medicine is an equal‑opportunity employer and is committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration.
Salary Range: $84,577.92 – $126,000.00 annually. Actual salaries depend on experience, specialty, education, and hospital need. The range does not include bonuses, differential pay, or other compensation.
To view the Pay Transparency Notice, please click here.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.