STEM OPT Senior ML Engineer Jobs
Senior ML Engineer roles qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code and your employer is enrolled in E-Verify. With 36 months of total OPT work authorization, you have a realistic runway to build production ML experience and secure H-1B visa sponsorship.
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Get Access To All JobsJob 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.
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.
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.
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.
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.
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.
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.
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.
See all 200+ STEM OPT Senior ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Senior ML Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior ML Engineer
Verify your CIP code before applying
Check your degree's CIP code against the DHS STEM OPT designated degree list before targeting Senior ML Engineer roles. Computer science, electrical engineering, and statistics degrees typically qualify, but applied mathematics subfields vary by program classification.
Filter jobs by E-Verify enrollment status
Senior ML Engineer postings don't always disclose E-Verify enrollment. Run the employer name through the E-Verify employer search before accepting a screening call so you don't spend three rounds of interviews on an ineligible company.
Frame your ML specialization in LCA job duty language
When reviewing offer letters, confirm the job duties reference model development, training pipelines, or deployment infrastructure. DOL LCA filings for Senior ML Engineers that use vague duty language face higher OFLC scrutiny, which can delay your start date.
Draft your I-983 training plan before the offer stage
Prepare a draft I-983 that maps your STEM OPT training objectives to specific ML engineering deliverables like model optimization or MLOps workflows. Employers unfamiliar with STEM OPT move faster when you arrive with a near-complete plan rather than explaining the form from scratch.
Use Migrate Mate to target employers with STEM OPT hiring history
Search Senior ML Engineer roles on Migrate Mate, which surfaces employers filtered for E-Verify enrollment and prior STEM OPT and H-1B filing activity. This narrows your list to companies already set up for the compliance steps your authorization requires.
Time your STEM OPT application around H-1B cap registration
If your initial OPT expires before October 1, file your STEM OPT extension with your DSO at least 90 days early so cap-gap coverage keeps you authorized through the H-1B start date. USCIS requires the extension application to be timely filed for cap-gap to apply.
Frequently Asked Questions
Does a Senior ML Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in a DHS-designated STEM field such as computer science, statistics, or electrical engineering, and the Senior ML Engineer role involves work that directly relates to that field. The employer must also be enrolled in E-Verify. Your DSO confirms eligibility by matching your degree's CIP code to the official STEM designated degree list before recommending the extension on your I-20.
How do I confirm my employer is enrolled in E-Verify?
Use the E-Verify employer search tool to look up your prospective employer by company name or federal contractor status before signing an offer. E-Verify enrollment is a hard requirement for STEM OPT, not a preference. If the company isn't enrolled, they must complete enrollment before your STEM OPT start date, which adds processing time you'll want to account for before your initial OPT expires.
What goes in the I-983 training plan for a Senior ML Engineer?
Your I-983 must describe how the Senior ML Engineer role provides practical training in a STEM field directly related to your degree. Specific deliverables work better than job descriptions: include model architecture projects, data pipeline ownership, or production deployment responsibilities. Both you and a company supervisor must sign it, and your employer must report your training progress to your DSO every six months throughout the STEM OPT period.
What happens to my STEM OPT authorization if my employer loses E-Verify enrollment?
If your employer's E-Verify participation is terminated after your STEM OPT begins, your work authorization is no longer valid for that employer and you must stop working. USCIS expects continuous E-Verify enrollment throughout the STEM OPT period. Your DSO should be notified immediately, and you'll need to find a new E-Verify-enrolled employer or pursue a change of status if you have another option available.
How do I find Senior ML Engineer jobs that support STEM OPT?
Migrate Mate lists Senior ML Engineer roles filtered for employers enrolled in E-Verify and with documented sponsorship history, which removes the guesswork of identifying compliant companies. Because STEM OPT requires both E-Verify enrollment and a qualifying STEM role tied to your degree, starting with employers already familiar with the process shortens the time between offer and your training plan being signed.