AI ML Engineer Jobs at JPMorganChase with Visa Sponsorship
AI ML Engineer jobs at JPMorganChase involve building infrastructure at the intersection of finance, risk, and compliance, where technical depth and domain awareness are equally important. The company has a consistent track record of sponsoring work visas across engineering functions, including for international 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 54+ AI ML Engineer Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer Jobs at JPMorganChase.
Get Access To All JobsTips for Finding AI ML Engineer Jobs at JPMorganChase
Align your credentials to financial AI applications
JPMorganChase prioritizes AI ML Engineers who can connect model development to regulated financial contexts like fraud detection, credit risk, and algorithmic trading. Frame your portfolio projects around production systems, not just research, before applying.
Target roles in established engineering centers
JPMorganChase concentrates AI ML hiring across specific locations including New York, Columbus, and Plano. Applying to postings in these hubs increases your odds of reaching a team with an established sponsorship workflow and dedicated immigration counsel.
Clarify your visa category early in interviews
JPMorganChase sponsors H-1B, E-3, and H-1B1 visas for engineering roles. Knowing which category applies to your nationality lets you have an informed conversation with recruiters before an offer is extended, avoiding delays once the process starts.
Understand the LCA requirement before your start date
Before your H-1B or E-3 can be filed, your employer must certify a Labor Condition Application with the DOL confirming your offered wage meets prevailing wage standards. Budget at least two to four weeks for this step and confirm it is underway after signing your offer.
Search for open roles using Migrate Mate
Use Migrate Mate to filter AI ML Engineer openings at JPMorganChase by visa type. This lets you focus exclusively on roles that match your sponsorship eligibility instead of sifting through listings that require existing work authorization.
Plan for PERM if permanent residency is your goal
If you are targeting a Green Card through the EB-2 or EB-3 pathway, the PERM labor certification process begins with the employer, not USCIS. Raise your long-term immigration goals with your manager or HR contact within your first year to get on the internal queue early.
Frequently Asked Questions
Does JPMorganChase sponsor H-1B visas for AI ML Engineers?
Yes, JPMorganChase sponsors H-1B visas for AI ML Engineers. The company has an active sponsorship program across its engineering functions and works with dedicated immigration counsel to manage filings. If you are subject to the H-1B cap, your petition would be submitted in the April lottery cycle, with employment starting October 1 if selected.
How do I apply for AI ML Engineer jobs at JPMorganChase?
Applications go through JPMorganChase's careers portal. Roles are listed by specific team and location, so filtering by keyword and city helps narrow relevant postings. You can also browse current AI ML Engineer openings at JPMorganChase filtered by visa type on Migrate Mate, which surfaces only roles open to sponsored candidates.
Which visa types does JPMorganChase commonly use for AI ML Engineers?
JPMorganChase sponsors H-1B, H-1B1 visa, and E-3 visas for AI ML Engineers, as well as employer-sponsored Green Card pathways through EB-2 and EB-3 classifications. Australian citizens are eligible for the E-3 visa, and Chilean and Singaporean nationals can apply under the H-1B1, both of which have no lottery and faster timelines than the standard H-1B cap process.
What qualifications does JPMorganChase expect for AI ML Engineer roles?
Most AI ML Engineer postings at JPMorganChase expect a bachelor's or master's degree in computer science, statistics, or a related quantitative field. Practical experience with production machine learning systems, proficiency in Python, and familiarity with MLOps tooling are consistently required. Experience in financial services, particularly around risk modeling, fraud detection, or natural language processing for compliance, strengthens your application significantly.
How long does the visa sponsorship process typically take at JPMorganChase?
Timeline depends on your visa category. E-3 and H-1B1 visa applications are processed directly at a U.S. consulate and can move within a few weeks of receiving employer documents. H-1B petitions for cap-subject candidates follow USCIS's annual lottery cycle, meaning a gap of up to six months between offer and start date is common. USCIS premium processing, which returns a decision within 15 business days, is available for H-1B petitions.