Machine Learning Engineer

NYU Langone Hospitals; New York (NY); On-site; USD 84,577 - 126,000; Full time

Benefits offered by this job

Comprehensive benefits package

Generous time-off program

Holistic wellness program

Job summary

NYU Langone Hospitals in New York is seeking an Engineer II – Applied AI. You will implement Generative AI and Machine Learning initiatives, collaborating with data scientists and IT partners to drive diverse projects.

Key responsibilities include designing AI applications, developing robust pipelines, and providing technical guidance. The position requires a Bachelor's degree in a related field and 1–3 years of experience in AI development.

Benefits include a comprehensive wellness package and competitive salary range of $84,577.92 – $126,000 annually.

Qualifications

• 1–3 years of hands-on experience in AI solution development required.
• Excellent verbal and written communication skills are necessary.
• Strong problem-solving skills and ability to work in a team environment.

Responsibilities

• Design and implement AI/ML applications using best practices.
• Collaborate with data scientists for high-performing AI models.
• Support technical reviews and internal documentation.

Skills

Python programming

AI solution development

Machine learning

Deep learning

PyTorch

TensorFlow

HPC

Spark

Kubernetes

Education

Bachelor's degree in computer science or a related field

Master's degree in computer/data science or related discipline (preferred)

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.

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