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Job ID: 1161543_RR00119546 Facility: NYU Grossman School of Medicine Position Type: Full-Time/Regular Shift: Day Sche...

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Selected role

Senior ML Engineer

NYU Langone Health New York, NY, US

$101k - $147k Senior Full-time

Job ID: 1161543_RR00119546

Facility: NYU Grossman School of Medicine

Position Type: Full-Time/Regular

Shift: Day

Schedule: 9am-5pm

Department: IT/Health IT/Informatics, MCIT-Predictive Analytics (S2128), NYU Grossman School of Medicine,

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 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).

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 – 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 TensorFlow

– 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.

Preferred Qualifications:

– Masters 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

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 $101,493.51 – $147,000.00 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

Salaries shown on independent jobs related websites reflect market averages and do not represent information obtained directly from NYU Langone. We invite and encourage each candidate to discuss salary/hourly specifics during the application and hiring process.

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 – 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 TensorFlow

– 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.

Preferred Qualifications:

– Masters 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

Qualified candidates must be able to effectively communicate with all levels of the organization.

View Know Your Rights: Workplace discrimination is illegal.

To view the Pay Transparency Notice, please click here

About NYU Langone Health

Be Where Everyone Is Dedicated to Exceptional Care

NYU Langone is a world-class, patient-centered, integrated academic health system with Magnet®-recognized status by the American Nurses Credentialing Center (ANCC). Our trifold mission to care, teach, and discover is achieved daily through NYU Langone’s inclusive culture devoted to excellence across the organization. Here, you can advance your career supported by exceptionally talented faculty and staff in an environment where everyone works together to deliver the best possible outcomes for our patients.

Our Hiring Process

Joining Our Team

Get ready to start your career journey at NYU Langone, where cutting-edge research meets compassionate care, and discover how you can contribute to shaping the future of medicine.

Step 1

Apply Online

The NYU Langone hiring process begins with you applying through our online portal. Be sure to update and upload your resume. Shortly after you submit your application, you will receive an email confirmation. Ten days after applying you will receive a talent assessment to be completed.

Step 2

Schedule Interviews

If selected to continue the interview process, HR will reach out via phone or email first. Then, depending on your position, they will schedule an interview with unit managers or team members. You are encouraged to dress professionally for all interviews.

Step 3

Receive Offer

If you successfully complete the interview process and are identified as a finalist for the position, we will require that you complete a professional reference process. After evaluating the completed references, a decision will be made on who will receive a preliminary offer. If you receive a preliminary offer, HR will start the onboarding process with an agreed-upon tentative start date.

Step 4

Training & Orientation

You will be contacted by an onboarding specialist who will work with you on your pre-boarding requirements. Once fully cleared, we will ask you to complete compliance orientation regulatory training. On your first day, you will attend an online required orientation to acclimate to the health system and report to your new department based on instructions provided by your hiring manager.

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