AI ML Engineering Jobs at JPMorganChase with Visa Sponsorship
JPMorganChase builds AI and machine learning capabilities across trading, risk, fraud detection, and consumer banking, making it one of the more active financial services employers for this discipline. The firm has an established process for sponsoring work visas for qualified AI ML Engineering candidates.
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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 Manager of AI/ML Engineering team at JPMorgan Chase within the Business Banking, you lead our dynamic teams and will be responsible for applying advanced machine learning techniques to intricate tasks such as natural language processing, document screening and manage day-to-day implementation activities by identifying and escalating issues.
Job responsibilities
- Develop state-of-the-art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, or recommendation systems
- Choosing, extending, and innovating ML strategies for various banking problems
- Provides guidance to immediate team of software engineers on daily tasks and activities
- Sets the overall guidance and expectations for team output, practices, and collaboration
- Anticipates dependencies with other teams to deliver products and applications in line with business requirements
- Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
- Learning about and understanding our supported businesses in order to drive practical and successful solutions
Required qualifications, capabilities, and skills
- Formal training or certification in Software Engineering concepts and 5+ years applied experience and hands-on industry experience in Machine Learning.
- Good understanding of the latest advancement of NLP concepts, such as the transformer architecture and knowledge distillation.
- Experience in classical ML techniques including classification, clustering, optimization, cross validation, data wrangling, feature selection, and feature extraction
- Experience leading technology projects
- Experience managing technologists
- Proficient in automation and continuous delivery methods
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication skills
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
Preferred qualifications, capabilities, and skills
- Hands-on experience with virtual assistant model development and optimization
- Familiarity with continuous integration models and unit test development
- Experience with A/B experimentation and data/metric-driven product development
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 Manager of AI/ML Engineering team at JPMorgan Chase within the Business Banking, you lead our dynamic teams and will be responsible for applying advanced machine learning techniques to intricate tasks such as natural language processing, document screening and manage day-to-day implementation activities by identifying and escalating issues.
Job responsibilities
- Develop state-of-the-art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, or recommendation systems
- Choosing, extending, and innovating ML strategies for various banking problems
- Provides guidance to immediate team of software engineers on daily tasks and activities
- Sets the overall guidance and expectations for team output, practices, and collaboration
- Anticipates dependencies with other teams to deliver products and applications in line with business requirements
- Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
- Learning about and understanding our supported businesses in order to drive practical and successful solutions
Required qualifications, capabilities, and skills
- Formal training or certification in Software Engineering concepts and 5+ years applied experience and hands-on industry experience in Machine Learning.
- Good understanding of the latest advancement of NLP concepts, such as the transformer architecture and knowledge distillation.
- Experience in classical ML techniques including classification, clustering, optimization, cross validation, data wrangling, feature selection, and feature extraction
- Experience leading technology projects
- Experience managing technologists
- Proficient in automation and continuous delivery methods
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication skills
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
Preferred qualifications, capabilities, and skills
- Hands-on experience with virtual assistant model development and optimization
- Familiarity with continuous integration models and unit test development
- Experience with A/B experimentation and data/metric-driven product development
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.
See all 95+ AI ML Engineering at JPMorganChase jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering at JPMorganChase roles.
Get Access To All JobsTips for Finding AI ML Engineering Jobs at JPMorganChase Jobs
Frame your ML work around financial applications
JPMorganChase evaluates AI ML candidates against real business problems: credit risk modeling, algorithmic trading, fraud detection, and regulatory compliance. Tailor your resume and portfolio to show applied ML experience in production systems, not just research or academic projects.
Verify your visa type before applying
JPMorganChase sponsors H-1B, E-3, and H-1B1 visas, plus immigrant pathways including EB-2 and EB-3. Knowing which category fits your nationality and background before you apply lets you answer recruiter screening questions confidently and avoids surprises late in the process.
Target roles explicitly tied to core banking systems
AI ML Engineering openings embedded in JPMorganChase's Chief Data and Analytics Office or its Global Technology division are more likely to have established sponsorship workflows than newer or experimental teams. Look for job descriptions that reference internal platform names or production ML infrastructure.
Prepare for a multi-round technical process early
JPMorganChase's interview loop for AI ML Engineering typically spans several weeks and includes system design, ML fundamentals, and a business case component. Starting your LCA and H-1B paperwork conversations with HR immediately after a verbal offer is critical given the April 1 USCIS filing deadline.
Use Migrate Mate to filter actively sponsoring AI ML roles
Not every open AI ML Engineering listing at JPMorganChase is attached to a team with active sponsorship bandwidth. Use Migrate Mate to browse roles filtered by visa type so you focus applications on positions where sponsorship is confirmed, not assumed.
Understand how PERM affects your long-term status
If you're targeting a Green Card through JPMorganChase's EB-2 or EB-3 pathway, the DOL PERM process can take 12 to 18 months before USCIS even sees your I-140. Large financial institutions typically run this in-house, but you should ask the recruiter about the team's current PERM backlog at the offer stage.
AI ML Engineering at JPMorganChase jobs are hiring across the US. Find yours.
Find AI ML Engineering at JPMorganChase JobsFrequently Asked Questions
Does JPMorganChase sponsor H-1B visas for AI ML Engineers?
Yes, JPMorganChase sponsors H-1B visas for AI ML Engineering roles. The firm has a dedicated immigration team that manages the process for qualifying candidates. Because H-1B petitions must be filed by April 1 for an October 1 start date, timing your offer and onboarding discussions accordingly is important for a smooth transition.
Which visa types does JPMorganChase commonly use for AI ML Engineering roles?
JPMorganChase sponsors H-1B, E-3, and H-1B1 visas for nonimmigrant work authorization, along with EB-2 and EB-3 immigrant pathways for eligible candidates pursuing a Green Card. Australian citizens benefit from the E-3 route, which avoids the H-1B lottery entirely. Your nationality and degree background will determine which category your recruiter pursues.
How do I apply for AI ML Engineering jobs at JPMorganChase?
You can apply directly through JPMorganChase's careers portal or browse verified sponsoring roles through Migrate Mate, which filters listings by visa type so you know sponsorship is on the table before you invest time in an application. JPMorganChase's AI ML Engineering roles typically require submitting a resume, and shortlisted candidates move into an initial recruiter screen followed by a technical interview loop.
What qualifications does JPMorganChase look for in AI ML Engineering candidates?
JPMorganChase generally expects a bachelor's or master's degree in computer science, statistics, or a related quantitative field for AI ML Engineering roles. Practical experience with large-scale ML systems, proficiency in Python, and familiarity with MLOps tooling carry significant weight. Roles tied to trading or risk functions often require demonstrated experience working with time-series data or financial datasets in production environments.
How long does the visa sponsorship process take for an AI ML Engineering role at JPMorganChase?
Timeline depends on visa type. For H-1B, the process runs on a fixed federal calendar: USCIS accepts petitions in April for an October 1 start, and lottery selection happens before that. E-3 and H-1B1 visas have no lottery and can be processed year-round, often within a few weeks of a certified Labor Condition Application from the DOL, making them significantly faster for eligible candidates.
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