ML Software Engineer Jobs for OPT Students
ML Software Engineer jobs are among the most OPT-friendly roles in tech, with strong employer demand for F-1 students from computer science, data science, and electrical engineering backgrounds. Most roles qualify for the 24-month STEM OPT extension, giving you up to three years of total work authorization.
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Get Access To All JobsJOB DESCRIPTION
This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions!
As a AI/ML Engineering Associate at JPMorgan Chase within the Business Banking you will be a key member responsible for designing and delivering trusted, market-leading AI technology products. Your role will involve implementing critical technology solutions across various technical domains to support the firm’s strategic objectives, ensuring security, stability, and scalability.
Job Responsibilities:
- Define the AI-driven validation roadmap across Business Banking.
- Architect and embed end-to-end AI checks into campaign authoring and execution workflows for all channels.
- Build AI/ML models to enhance final reads (pre-launch approvals), incorporating external signals and trend analysis to generate actionable recommendations.
- Partner with Marketing, Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across CCB sub-LOBs.
- Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices.
- Provide executive-ready insights, recommendations, and status updates on the portfolio roadmap and key learnings.
- Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives.
- Champion quality-as-a-service: prevent errors and drive continuous improvement in validation processes.
- Demonstrate customer obsession by understanding and improving the end-to-end customer experience.
Required qualifications, capabilities and skills:
- Formal training or certification in Software Engineering concepts and 3+ years applied experience
- Experience of Gen AI builds, Agents, and MCP.
- Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must.
- Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Hands-on experience with machine learning and deep learning methods.
- Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in languages such as Python, R, or Java.
- Ability to design and implement complex algorithms for recommendation systems and trend analysis.
- Experience in data integration and real-time data processing.
- Understanding of marketing and campaign testing processes.
Preferred Qualifications:
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience of all LLM models and their capabilities
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
- Prior experience in credit card marketing and in-market testing.
- Excellent communication and presentation skills along with strong interpersonal skills and ability to translate technical concepts into actionable business strategies.
- Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation.
About us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
JOB DESCRIPTION
This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions!
As a AI/ML Engineering Associate at JPMorgan Chase within the Business Banking you will be a key member responsible for designing and delivering trusted, market-leading AI technology products. Your role will involve implementing critical technology solutions across various technical domains to support the firm’s strategic objectives, ensuring security, stability, and scalability.
Job Responsibilities:
- Define the AI-driven validation roadmap across Business Banking.
- Architect and embed end-to-end AI checks into campaign authoring and execution workflows for all channels.
- Build AI/ML models to enhance final reads (pre-launch approvals), incorporating external signals and trend analysis to generate actionable recommendations.
- Partner with Marketing, Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across CCB sub-LOBs.
- Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices.
- Provide executive-ready insights, recommendations, and status updates on the portfolio roadmap and key learnings.
- Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives.
- Champion quality-as-a-service: prevent errors and drive continuous improvement in validation processes.
- Demonstrate customer obsession by understanding and improving the end-to-end customer experience.
Required qualifications, capabilities and skills:
- Formal training or certification in Software Engineering concepts and 3+ years applied experience
- Experience of Gen AI builds, Agents, and MCP.
- Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must.
- Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Hands-on experience with machine learning and deep learning methods.
- Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in languages such as Python, R, or Java.
- Ability to design and implement complex algorithms for recommendation systems and trend analysis.
- Experience in data integration and real-time data processing.
- Understanding of marketing and campaign testing processes.
Preferred Qualifications:
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience of all LLM models and their capabilities
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
- Prior experience in credit card marketing and in-market testing.
- Excellent communication and presentation skills along with strong interpersonal skills and ability to translate technical concepts into actionable business strategies.
- Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation.
About us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
How to Get Visa Sponsorship as a ML Software Engineer
Showcase deployed projects, not just coursework
Employers sponsoring OPT want evidence you can ship. Include GitHub links to models you've trained and deployed, not just academic projects. Real-world inference pipelines, fine-tuned models, or published Kaggle results carry more weight than grades.
Specialize to stand out in a competitive field
ML is broad. Candidates who clearly own a niche, such as NLP, computer vision, recommendation systems, or reinforcement learning, are easier for hiring managers to match to open roles and more likely to receive sponsorship consideration.
Use Migrate Mate to find OPT-ready ML employers
Browsing general job boards wastes time on roles that won't sponsor. Migrate Mate surfaces ML Software Engineer roles at employers who have actively hired OPT and visa candidates, so your applications go where they have a real chance.
ML Software Engineer jobs are hiring across the US. Find yours.
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Get Access To All JobsFrequently Asked Questions
Does an ML Software Engineer role qualify for the 24-month STEM OPT extension?
Yes, in most cases. ML Software Engineer roles typically fall under CIP codes tied to computer science, computer engineering, or electrical engineering, all of which are on the STEM OPT designated degree list. Your degree field, not just your job title, determines eligibility, so confirm your CIP code with your DSO before applying for the extension.
How do I find ML Software Engineer employers that sponsor OPT students?
The most efficient approach is to focus your search on companies with existing ML infrastructure and a track record of sponsoring F-1 employees. Migrate Mate filters job listings specifically for OPT-friendly employers, so you can browse ML Software Engineer roles without wading through postings that exclude visa candidates entirely.
Can I work as a contractor or on a 1099 basis on OPT as an ML Software Engineer?
No. OPT requires a standard employer-employee relationship. You must be paid as a W-2 employee, meaning the company withholds taxes and you work under their direction. Independent contracting, freelance work, or 1099 arrangements do not meet OPT employment requirements and could jeopardize your status.
What happens to my OPT authorization if my ML Software Engineer role is eliminated in a layoff?
You have a 60-day grace period from your last day of employment to find new authorized work, transfer to another visa status, or leave the United States. Report the employment end date to your DSO immediately. If you secure a new ML Software Engineer role within 60 days, your OPT authorization continues with the new employer.
Does my ML Software Engineer job need to directly match my degree field to count as valid OPT employment?
Yes. Your role must be directly related to the field of study listed on your OPT authorization. A computer science graduate working in ML engineering is a clear match. If your degree is in a less obvious field, such as statistics or mathematics, document how your program prepared you for ML work and discuss it with your DSO before accepting an offer.
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