STEM OPT ML Engineer Jobs
ML Engineer roles qualify for STEM OPT because they fall under computer science and engineering CIP codes, giving you up to 24 months of additional work authorization beyond your initial OPT period. Your employer must be enrolled in E-Verify, and you'll need an approved I-983 training plan tied to a qualifying STEM degree.
Find STEM OPT ML Engineer JobsOverview
Showing 5 of 1,034+ ML Engineer jobs
See all 1,034+ ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer roles.
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 1,034+ STEM OPT ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT ML Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a ML Engineer
Verify your CIP code matches ML Engineering
Check your degree's Classification of Instructional Programs code against the DHS STEM OPT designated degree list before applying. Computer Science (11.0701), Electrical Engineering (14.1001), and Applied Mathematics (27.0301) are common qualifying codes for ML Engineer roles.
Confirm E-Verify enrollment before accepting offers
Ask recruiters for their E-Verify company ID or check enrollment status directly through the E-Verify employer search tool. An employer not enrolled in E-Verify cannot legally support your STEM OPT extension, regardless of how eager they are to hire you.
Use Migrate Mate to filter ML Engineer roles by E-Verify status
Search ML Engineer positions on Migrate Mate to surface employers already verified for STEM OPT eligibility. This cuts the research time of manually cross-referencing job postings against E-Verify enrollment records before you invest in an application.
Build your I-983 training plan around ML deliverables
Draft your I-983 before your offer letter is finalized so your hiring manager can sign off quickly. Map specific ML Engineering tasks, such as model training pipelines and production deployment, to your STEM degree's learning objectives to satisfy USCIS review standards.
Target employers with active H-1B filing history in ML roles
Companies that regularly file H-1B visa petitions for software and ML roles have established immigration infrastructure and understand STEM OPT reporting obligations. DOL LCA disclosure data shows which employers file for ML Engineer-adjacent SOC codes year over year.
Time your STEM OPT application to cover your start date
File your STEM OPT extension with your DSO at least 90 days before your initial OPT expires. USCIS recommends submitting Form I-765 early enough that your EAD arrives before your authorization lapses, protecting your ability to start on your target date.
Frequently Asked Questions
Does an ML Engineer role qualify for the STEM OPT extension?
ML Engineer positions typically qualify when your employer maps the role to a STEM-designated SOC code, such as Software Developers (15-1252) or Computer and Information Research Scientists (15-1221), and your degree falls under a qualifying CIP code. Confirm the match with your DSO before filing. You can verify the SOC classification for ML Engineering work through O*NET.
What STEM degrees are accepted for an ML Engineer STEM OPT extension?
Degrees in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, and Data Science are commonly accepted, provided they appear on the DHS STEM Designated Degree Program list under their respective CIP codes. A degree in a non-STEM field does not qualify even if your coursework included machine learning. Your DSO can confirm your specific CIP code eligibility before you apply.
How do I verify that an ML Engineer employer is enrolled in E-Verify?
Use the E-Verify employer search tool to look up any company by name before accepting an offer. Enrollment in E-Verify is a legal requirement for STEM OPT employers, not an optional benefit. If a company is not enrolled, they cannot legally employ you under the STEM OPT extension. Migrate Mate surfaces ML Engineer roles from E-Verify-enrolled employers so you can focus your search efficiently.
What goes into an I-983 training plan for an ML Engineer position?
Your I-983 must describe how the ML Engineer role provides practical training related to your STEM degree. Include specific responsibilities such as developing neural network architectures, running model validation pipelines, or deploying inference systems, and explain how each connects to your academic coursework. Both you and your employer's authorized representative must sign it, and your DSO must review and maintain it throughout your extension period.
Does cap-gap protection apply if my H-1B is selected while I work as an ML Engineer on STEM OPT?
Yes. If your employer files an H-1B petition on your behalf before your STEM OPT EAD expires, cap-gap protection automatically extends your work authorization through September 30 of that fiscal year, or until your H-1B start date of October 1, whichever comes first. You can continue working as an ML Engineer without interruption as long as the petition remains pending or approved. USCIS provides formal guidance on cap-gap eligibility on its website.