AI ML Engineering Jobs at JPMorganChase with Visa Sponsorship
AI ML Engineering jobs at JPMorganChase involve building 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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Join our Sales Science Data and Analytics team and help us optimize client engagement through our Consumer & Community Banking field employees and tools! As an Applied AI ML Senior Associate in our Sales Science Data and Analytics team, you will help us optimize client engagement through our innovative projects and you will help us drive the future of field AI Technologies, leveraging ML tools and algorithms to deliver the right solutions as we reinvent CRMs and client/employee interactions at the firm. You will be part of an innovative team, working closely with business partners, product owners, and fellow data scientists to build new AI/ML solutions and productionlize them. You are someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen.
Job Responsibilities
- Serve as a subject matter expert on a wide range of ML techniques and optimizations.
- Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conduct experiments using latest ML technologies, analyzing results, tuning models.
- Actively engage in hands-on coding to convert experimental results into robust production solutions.
- Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.
- Integrate Generative AI within the ML Platform using state-of-the-art techniques.
Required Qualifications, Capabilities, And Skills
- Bachelor's degree in Computer Science, Machine Learning, or a related field with 3 years of applied machine learning experience.
- 3+ years of experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must.
- Experience in applying data science, ML techniques and Reinforcement Learning to solve business problems.
- Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs).
- Experience with machine learning and deep learning methods.
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Ability to work on tasks and projects through to completion with limited supervision.
- Passion for detail and follow through. Excellent communication skills and team player.
Preferred Qualifications, Capabilities, And Skills
- In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
- MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 4 years of applied machine learning experience preferred.
- Advanced knowledge in Reinforcement Learning or Meta Learning.
- Software development experience is a plus.
- Demonstrated ability to translate LLM pipelines/workflows into something less technical business partners can understand.
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
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. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Job Description
Join our Sales Science Data and Analytics team and help us optimize client engagement through our Consumer & Community Banking field employees and tools! As an Applied AI ML Senior Associate in our Sales Science Data and Analytics team, you will help us optimize client engagement through our innovative projects and you will help us drive the future of field AI Technologies, leveraging ML tools and algorithms to deliver the right solutions as we reinvent CRMs and client/employee interactions at the firm. You will be part of an innovative team, working closely with business partners, product owners, and fellow data scientists to build new AI/ML solutions and productionlize them. You are someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen.
Job Responsibilities
- Serve as a subject matter expert on a wide range of ML techniques and optimizations.
- Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conduct experiments using latest ML technologies, analyzing results, tuning models.
- Actively engage in hands-on coding to convert experimental results into robust production solutions.
- Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.
- Integrate Generative AI within the ML Platform using state-of-the-art techniques.
Required Qualifications, Capabilities, And Skills
- Bachelor's degree in Computer Science, Machine Learning, or a related field with 3 years of applied machine learning experience.
- 3+ years of experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must.
- Experience in applying data science, ML techniques and Reinforcement Learning to solve business problems.
- Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs).
- Experience with machine learning and deep learning methods.
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Ability to work on tasks and projects through to completion with limited supervision.
- Passion for detail and follow through. Excellent communication skills and team player.
Preferred Qualifications, Capabilities, And Skills
- In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
- MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 4 years of applied machine learning experience preferred.
- Advanced knowledge in Reinforcement Learning or Meta Learning.
- Software development experience is a plus.
- Demonstrated ability to translate LLM pipelines/workflows into something less technical business partners can understand.
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
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. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
See all 49+ AI ML Engineering Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering Jobs at JPMorganChase.
Get Access To All JobsTips for Finding AI ML Engineering Jobs at JPMorganChase
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.
Frequently 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 visa, 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 visa 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.