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Machine Learning EngineerNYU Langone Health • United States
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Machine Learning Engineer

NYU Langone Health
  • US
    United States
  • US
    United States
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Über

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Engineer II - Applied AI.
As a 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). Job Responsibilities:
Design and implement AI/ML applications using tools and frameworks from our teams 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 understanding of business workflows shadow / work with clients to gather feature requirements, identify and document AI opportunities, create appropriate tickets, participate in backlog refinement, execute tickets, 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
Minimum Qualifications: To qualify you must have a 1. Bachelor's degree in computer science, software engineering, or a related field. 2. At least 1-3 years of hands-on experience in AI Solution development 3. Strong programming skills in Python, or other languages commonly used in AI development. 4. Substantial knowledge of AI, machine learning, and deep learning 5. Experience with AI platforms like PyTorch or TensorFlow 6. Experience with building large-scale and/or compute-intensive applications on clusters for data engineering, model training and evaluation (HPC, Spark, Kubernetes) 7. Understanding of software development principles and methodologies, including data structures, data modeling and software architecture. 8. Excellent problem-solving skills and ability to work in a team environment. 9. Excellent communication skills, both verbal and written. Preferred Qualifications: 1. Masters degree in computer science, data science, software engineering, or a related quantitative discipline 2. 3-5 years of hands-on experience in AI Solution development 3. Basic understanding of at least one cloud (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.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. 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. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.92 - $126,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here
  • United States

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