ML Engineer Jobs at JPMorganChase with Visa Sponsorship
JPMorganChase builds ML infrastructure at scale across trading, risk, fraud detection, and consumer banking. The firm has a consistent track record of sponsoring international ML Engineers across multiple visa categories, making it a realistic target for qualified candidates who need work authorization.
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Get Access To All JobsINTRODUCTION
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. In this role, you’ll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You’ll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI Engineer-Senior Associate within the Consumer & Community Banking Machine Learning team, you will work with an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
JOB RESPONSIBILITIES
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
- Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
- Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
- Promote software and model quality, integrity, and security across the organization
BASIC QUALIFICATIONS
- Undergraduate and master’s degrees in Computer Science or similar, with training and work experience in LLM/NLP and search.
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
- Experience in machine learning frameworks, ML Ops tools and practices.
- Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
- Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
- Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
PREFERRED QUALIFICATIONS
- Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
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.
INTRODUCTION
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. In this role, you’ll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You’ll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI Engineer-Senior Associate within the Consumer & Community Banking Machine Learning team, you will work with an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
JOB RESPONSIBILITIES
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
- Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
- Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
- Promote software and model quality, integrity, and security across the organization
BASIC QUALIFICATIONS
- Undergraduate and master’s degrees in Computer Science or similar, with training and work experience in LLM/NLP and search.
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
- Experience in machine learning frameworks, ML Ops tools and practices.
- Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
- Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
- Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
PREFERRED QUALIFICATIONS
- Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
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 95+ ML Engineer at JPMorganChase jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer at JPMorganChase roles.
Get Access To All JobsTips for Finding ML Engineer Jobs at JPMorganChase Jobs
Align your portfolio to financial ML use cases
JPMorganChase prioritizes ML Engineers who can demonstrate experience with time-series modeling, anomaly detection, or risk scoring. Frame your portfolio projects around financial data problems rather than generic computer vision or NLP showcases.
Target teams that file LCAs consistently
Search the DOL's Labor Condition Application disclosure data for JPMorganChase filings under ML Engineer and related job titles. Teams filing LCAs regularly signal active international hiring pipelines, not just one-off sponsorships.
Clarify visa type eligibility before your interview loop
JPMorganChase sponsors multiple visa categories including H-1B, E-3, and EB-2. If you hold Australian citizenship or H-1B1 eligibility, raise that early. Your nationality can determine which filing path the employer pursues and how quickly you can start.
Prepare for specialty occupation documentation upfront
USCIS scrutinizes financial sector ML roles to confirm the position requires a specific degree field, not just any bachelor's. Gather transcripts, degree equivalency evaluations if your credential is non-U.S., and a clear description of how your degree maps to the role.
Expect a structured offer-to-filing timeline at a large bank
At an institution the size of JPMorganChase, immigration counsel is external and coordinated centrally. After your offer, budget four to eight weeks before the I-129 petition is filed. Confirm your current status and any grace period windows before signing.
Browse verified ML Engineer openings on Migrate Mate
Filter for JPMorganChase ML Engineer roles confirmed to sponsor visas using Migrate Mate. This saves you from applying to postings where sponsorship availability is unclear, which is a common time drain when targeting large financial employers.
ML Engineer at JPMorganChase jobs are hiring across the US. Find yours.
Find ML Engineer at JPMorganChase JobsFrequently Asked Questions
Does JPMorganChase sponsor H-1B visas for ML Engineers?
Yes, JPMorganChase sponsors H-1B visas for ML Engineers and does so across multiple business lines including technology, risk, and quantitative research. The firm works with external immigration counsel to manage filings. Because H-1B is subject to the annual lottery cap, timing your application cycle and confirming your registration window with your recruiter early in the process matters.
How do I apply for ML Engineer jobs at JPMorganChase?
Apply directly through JPMorganChase's careers portal or browse verified ML Engineer openings that confirm visa sponsorship on Migrate Mate. When applying, tailor your resume to the specific team's technical stack and financial domain. Roles in AI Research, Model Risk, and Technology often have separate hiring pipelines, so applying to the right sub-team improves your chances of a relevant interview.
Which visa types does JPMorganChase commonly use for ML Engineers?
JPMorganChase sponsors H-1B, E-3, H-1B1, and Green Card pathways including EB-2 and EB-3 for ML Engineers. Australian citizens are typically routed to the E-3, which has no lottery and allows faster processing. Candidates from countries with other treaty agreements may qualify for H-1B1. Your immigration path depends on your nationality and the role's classification.
What qualifications does JPMorganChase expect for ML Engineer roles?
Most ML Engineer roles at JPMorganChase require a bachelor's degree or higher in computer science, statistics, mathematics, or a closely related field. Strong candidates have hands-on experience with Python, model deployment in production environments, and familiarity with large-scale data pipelines. Roles supporting trading or risk functions often value exposure to financial datasets, low-latency inference, or regulatory model governance requirements.
How do I understand the visa filing timeline after receiving an offer from JPMorganChase?
After your offer is accepted, JPMorganChase's immigration team initiates the petition process with external counsel. For H-1B, USCIS's lottery registration opens in March for an October 1 start date, so your hiring timeline needs to account for that annual cycle. For E-3 or H-1B1 filers, there is no cap, and processing can move faster. Clarify your current visa status and any authorized stay deadlines with your recruiter immediately after receiving your offer.
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