STEM OPT AI ML Engineering Jobs
AI ML Engineering roles in computer science, data science, and related STEM fields qualify for the 24-month STEM OPT extension, giving you up to 36 months of total work authorization. Your employer must be enrolled in E-Verify to file your I-983 training plan and keep your authorization active.
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Get Access To All JobsINTRODUCTION
JPMorganChase runs the world's largest wholesale payments network across Treasury Services, Merchant Services, Trade, and Commercial Card, enabling clients to pay globally in any currency and payment method. It delivers an end-to-end suite spanning Payments, Liquidity, Trade, and Finance, supported by real-time insights and expert advice. This role is in Applied AI and Machine Learning, partnering closely with Wholesale Payments Operations, which processes over 106 million transactions worth $6 trillion daily across 120+ currencies and receives payments in 40+ countries. As an AI/ML Engineer in Wholesale Payments Operations, you will design, implement, and deploy high-quality solutions for the complex business problems we face at JPMorganChase. We have rewarding technical challenges, large data sets, and a tremendous opportunity for innovative AI/ML work, including NLP, document understanding, agentic system design, and AI-assisted development. You'll draw on strong software engineering fundamentals and modern AI techniques to deliver commercially impactful, production-grade solutions. The ideal candidate will have a deep understanding of design patterns, Python programming, cloud infrastructure, and the emerging discipline of prompt engineering and AI-augmented development. We're looking for enthusiastic, bright, and personable people with strong communication skills, a collaborative working style, and a passion for shipping real AI solutions. We value people who take ownership, seek feedback, and make the team around them better.
JOB RESPONSIBILITIES
- Learn Wholesale Payments Operations workflows deeply, identify high-impact opportunities, and translate ambiguous problems into clear solutions with measurable outcomes.
- Design, implement, and deploy AI/ML services to cloud infrastructure with production-quality reliability, monitoring, and operational readiness.
- Build and maintain data pipelines that enable repeatable training, evaluation, and continuous improvement of models in production.
- Apply AI/ML techniques across text and documents (e.g., NLP, document analysis, text/image classification, OCR) to create automated decisioning and workflow augmentation solutions.
- Use AI coding assistants effectively (e.g., GitHub Copilot, Claude Code, or firm-approved equivalents) to accelerate delivery while maintaining engineering rigor: readability, tests, security-mindedness, and maintainability.
- Prompt engineer and iterate systematically: write, test, and refine prompts; develop evaluation strategies; and document prompt patterns to make AI behaviors reproducible and reviewable.
- Design agentic systems where appropriate: decompose tasks, define tool interfaces, add safeguards, and measure quality/latency/cost tradeoffs to ensure controllable, production-ready automation.
- Refactor code, write tests, and uphold code quality metrics so models and services remain robust as products scale.
- Analyze and evaluate ongoing model and service performance, diagnose failure modes, and drive continuous improvements.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science or a related field.
- 2+ years of hands-on Python experience with a proven ability to build production-grade software (APIs/services, testing, refactoring).
- 1+ year of hands-on experience deploying to cloud infrastructure (AWS or equivalent) and working within production constraints (latency, reliability, observability).
- Strong object-oriented design and concurrency fundamentals.
- Practical experience applying AI/ML techniques (e.g., text mining, document analysis, classification, OCR) and evaluating model quality in real-world settings.
- Track record of independently driving solutions from problem framing through deployment and iteration, with measurable outcomes.
- Proficiency using AI coding tools (e.g., GitHub Copilot, Claude Code) to increase development throughput while preserving code quality.
- Working knowledge of prompt engineering: ability to design, test, and iterate on prompts for repeatable, high-quality AI outputs.
- Strong communication skills and a collaborative, team-first working style.
PREFERRED QUALIFICATIONS
- AWS (or equivalent) beyond basics, including managed ML platforms such as SageMaker (or equivalent) for training and deployment workflows.
- Experience building LLM-powered solutions, including designing agentic workflows with measurable evaluation and guardrails.
- Track record of accelerating delivery using AI-assisted development while maintaining high engineering standards (tests, refactoring discipline, production readiness).
- Experience productionizing NLP and/or document understanding solutions at scale.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
INTRODUCTION
JPMorganChase runs the world's largest wholesale payments network across Treasury Services, Merchant Services, Trade, and Commercial Card, enabling clients to pay globally in any currency and payment method. It delivers an end-to-end suite spanning Payments, Liquidity, Trade, and Finance, supported by real-time insights and expert advice. This role is in Applied AI and Machine Learning, partnering closely with Wholesale Payments Operations, which processes over 106 million transactions worth $6 trillion daily across 120+ currencies and receives payments in 40+ countries. As an AI/ML Engineer in Wholesale Payments Operations, you will design, implement, and deploy high-quality solutions for the complex business problems we face at JPMorganChase. We have rewarding technical challenges, large data sets, and a tremendous opportunity for innovative AI/ML work, including NLP, document understanding, agentic system design, and AI-assisted development. You'll draw on strong software engineering fundamentals and modern AI techniques to deliver commercially impactful, production-grade solutions. The ideal candidate will have a deep understanding of design patterns, Python programming, cloud infrastructure, and the emerging discipline of prompt engineering and AI-augmented development. We're looking for enthusiastic, bright, and personable people with strong communication skills, a collaborative working style, and a passion for shipping real AI solutions. We value people who take ownership, seek feedback, and make the team around them better.
JOB RESPONSIBILITIES
- Learn Wholesale Payments Operations workflows deeply, identify high-impact opportunities, and translate ambiguous problems into clear solutions with measurable outcomes.
- Design, implement, and deploy AI/ML services to cloud infrastructure with production-quality reliability, monitoring, and operational readiness.
- Build and maintain data pipelines that enable repeatable training, evaluation, and continuous improvement of models in production.
- Apply AI/ML techniques across text and documents (e.g., NLP, document analysis, text/image classification, OCR) to create automated decisioning and workflow augmentation solutions.
- Use AI coding assistants effectively (e.g., GitHub Copilot, Claude Code, or firm-approved equivalents) to accelerate delivery while maintaining engineering rigor: readability, tests, security-mindedness, and maintainability.
- Prompt engineer and iterate systematically: write, test, and refine prompts; develop evaluation strategies; and document prompt patterns to make AI behaviors reproducible and reviewable.
- Design agentic systems where appropriate: decompose tasks, define tool interfaces, add safeguards, and measure quality/latency/cost tradeoffs to ensure controllable, production-ready automation.
- Refactor code, write tests, and uphold code quality metrics so models and services remain robust as products scale.
- Analyze and evaluate ongoing model and service performance, diagnose failure modes, and drive continuous improvements.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science or a related field.
- 2+ years of hands-on Python experience with a proven ability to build production-grade software (APIs/services, testing, refactoring).
- 1+ year of hands-on experience deploying to cloud infrastructure (AWS or equivalent) and working within production constraints (latency, reliability, observability).
- Strong object-oriented design and concurrency fundamentals.
- Practical experience applying AI/ML techniques (e.g., text mining, document analysis, classification, OCR) and evaluating model quality in real-world settings.
- Track record of independently driving solutions from problem framing through deployment and iteration, with measurable outcomes.
- Proficiency using AI coding tools (e.g., GitHub Copilot, Claude Code) to increase development throughput while preserving code quality.
- Working knowledge of prompt engineering: ability to design, test, and iterate on prompts for repeatable, high-quality AI outputs.
- Strong communication skills and a collaborative, team-first working style.
PREFERRED QUALIFICATIONS
- AWS (or equivalent) beyond basics, including managed ML platforms such as SageMaker (or equivalent) for training and deployment workflows.
- Experience building LLM-powered solutions, including designing agentic workflows with measurable evaluation and guardrails.
- Track record of accelerating delivery using AI-assisted development while maintaining high engineering standards (tests, refactoring discipline, production readiness).
- Experience productionizing NLP and/or document understanding solutions at scale.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See all 982+ STEM OPT AI ML Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI ML Engineering Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in AI ML Engineering
Verify your CIP code before applying
Your STEM OPT eligibility depends on your degree's Classification of Instructional Programs code matching an approved STEM list. Computer science, electrical engineering, and data science CIP codes commonly support AI ML roles, but confirm with your DSO before targeting employers.
Filter employers by E-Verify enrollment status
Only E-Verify-enrolled employers can legally hire you on STEM OPT. Before any application, confirm enrollment through the E-Verify employer search tool. Roles at non-enrolled companies, including many early-stage startups, are off-limits regardless of how strong the offer looks.
Build an I-983 training plan before the offer stage
Drafting your training plan goals for an AI ML role before you receive an offer lets you move faster once one comes. Map your learning objectives to specific ML frameworks, model development responsibilities, and performance benchmarks your employer will sign off on.
Target employers with active H-1B filing history
Companies that have consistently filed H-1B visa petitions for ML engineers are structurally prepared to support long-term authorization. Use Migrate Mate to filter AI ML Engineering roles by employers with verified sponsorship history, so you're not starting that conversation from scratch.
Align your role title with DOL wage classifications
Job titles in AI and ML vary widely, but DOL wage levels are tied to SOC codes like Software Developers or Computer and Information Research Scientists. Use the OFLC Wage Search to confirm which SOC code your offer maps to before negotiating, since misclassification can delay LCA certification.
Track your 24-month extension window against H-1B cap dates
If your STEM OPT expires before an H-1B petition takes effect, cap-gap protection may bridge the gap, but only if your employer files before April 1 of the relevant fiscal year. Coordinate your extension end date with your employer's HR team early so filing deadlines don't catch you off guard.
Frequently Asked Questions
Which STEM degrees qualify for the OPT extension for AI ML Engineering roles?
Degrees in computer science, electrical engineering, statistics, applied mathematics, and data science are among the most common qualifying fields for AI ML Engineering positions. Your degree must carry an approved STEM Classification of Instructional Programs code, and your DSO can confirm whether your specific program qualifies before you begin the extension application through USCIS.
Does my employer have to be enrolled in E-Verify to hire me on STEM OPT?
Yes. E-Verify enrollment is a hard requirement for every employer hiring STEM OPT students. There are no exceptions, even for short contracts or part-time roles. You can verify a company's enrollment status through the E-Verify employer search before accepting any offer. Working for a non-enrolled employer places your immigration status at risk.
What goes into the I-983 training plan for an AI ML Engineering position?
Your I-983 must describe the specific AI and ML skills you'll develop, the projects or responsibilities tied to those goals, how your work connects to your STEM degree, and how your employer will evaluate your progress. For AI ML Engineering roles, this typically includes model development, data pipeline work, framework proficiency, and measurable performance benchmarks signed off by a supervisor.
How does cap-gap protection work if my STEM OPT ends before my H-1B starts?
If your employer files an H-1B petition on your behalf before April 1 and your STEM OPT expires between April 1 and October 1 of the same year, cap-gap automatically extends your work authorization through September 30. Your employer must file before that deadline for protection to apply. USCIS provides guidance on cap-gap rules for F-1 students transitioning to H-1B status.
Where can I find AI ML Engineering jobs at employers already set up for STEM OPT students?
Migrate Mate lists AI ML Engineering roles filtered by employers with active E-Verify enrollment and a track record of sponsoring STEM workers. Searching there lets you focus on companies that already understand the I-983 process and are structurally prepared to support your authorization, rather than spending time educating employers who have never hired an OPT student.