Senior ML Engineer

Position Summary

We have an exciting opportunity to join our team as a Sr. Engineer I - AI.

As a Senior ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects forward in collaboration with the key customers – data scientists, business units and IT partners across the various verticals (corporate services, office of science and research, clinical, and pathology).

• Design and implement AI/ML applications using tools and frameworks from our team’s technology stack and following the best practices in software development.
• Collaborate with data scientists to build and/or 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 our internal security and data protection standards in AI applications; assist the team with maintaining emerging AI system risk and security standards.
• Support the team in preparation for technical reviews and internal documentation (architecture, IT Security, AI).
• Collaborate with other team members and stakeholders to meet team objectives; develop an understanding of business workflows, shadow or work with clients to gather feature requirements, identify and document AI opportunities, create appropriate tickets, participate in backlog refinement, execute tickets, and participate in code‑review activities.
• Stay updated with the latest industry trends and advancements in AI and relevant cloud technologies; routinely 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 functional analysis, prototyping, development, evaluation, testing, deployment, refactoring and technical support.

• Bachelor’s degree in computer science, software engineering, or a related field.
• At least 3‑5 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 like PyTorch or Tensor Flow.
• Experience with building large‑scale and/or compute‑intensive applications on clusters for data engineering, model training and evaluation (HPC, Spark, Kubernetes).
• Understanding of software development principles and methodologies, including data structures, data modeling and software architecture.
• Excellent problem‑solving skills and ability to work in a team environment.
• Excellent communication skills, both verbal and written.

• Master’s degree in computer science, data science, software engineering, or a related quantitative discipline.
• 5‑7 years of hands‑on experience in AI solution development.
• Basic understanding of at least one cloud (Azure, AWS, GCP) and cloud native development tools, and experience using their AI/ML toolchain.

The salary range for the role is $ – $ annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. This range does not include bonuses, differential pay or other forms of compensation or benefits.

NYU Grossman School of Medicine provides its staff with a comprehensive benefits and wellness package, including financial security benefits, a generous time‑off program, employee resource groups, and a holistic wellness program focusing on physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow employees to focus on what truly matters.

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.