Machine Learning Engineer Jobs at JPMorganChase with Visa Sponsorship
JPMorganChase hires Machine Learning Engineers across its technology, risk, and quantitative research divisions, with roles spanning model development, NLP, and production ML systems. The firm has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates.
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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+ Machine Learning Engineer at JPMorganChase jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer at JPMorganChase roles.
Get Access To All JobsTips for Finding Machine Learning Engineer Jobs at JPMorganChase Jobs
Align your credentials to financial ML standards
JPMorganChase prioritizes candidates with graduate-level work in ML, statistics, or quantitative finance. Ensure your resume explicitly connects your academic background and published or production model experience to financial applications like risk modeling, fraud detection, or algorithmic trading.
Target the right internal divisions first
Roles under Corporate and Investment Banking technology or the AI Research team tend to have longer sponsorship runway than contract-heavy roles. Filter your applications toward these divisions, where full-time headcount and longer project cycles make multi-year visa support more predictable.
Find open sponsored roles through Migrate Mate
Browse JPMorganChase's current Machine Learning Engineer openings filtered by visa sponsorship on Migrate Mate. This saves you from applying to roles where sponsorship isn't available and helps you prioritize positions already open to H-1B or E-3 candidates.
Understand the LCA filing before your offer stage
Before JPMorganChase can file your H-1B petition with USCIS, they must get a Labor Condition Application certified by DOL. This step confirms your role meets prevailing wage requirements. Knowing this timeline helps you negotiate a realistic start date during the offer process.
Clarify cap-exempt status if you're transferring internally
If you're already on an H-1B with another employer, a transfer to JPMorganChase doesn't require a new lottery entry. You can begin working as soon as USCIS receives the H-1B transfer petition, so negotiate your transition timeline around the portability rule, not the lottery cycle.
Prepare for technical screens that test production ML depth
JPMorganChase's engineering interviews for ML roles emphasize deployed systems, not just model theory. Be ready to walk through end-to-end pipelines, latency tradeoffs, and model monitoring in production environments. Candidates who can bridge research fluency with engineering rigor move further in the process.
Machine Learning Engineer at JPMorganChase jobs are hiring across the US. Find yours.
Find Machine Learning Engineer at JPMorganChase JobsFrequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Machine Learning Engineers?
Yes, JPMorganChase sponsors H-1B visas for Machine Learning Engineers. The firm has a well-established immigration program and regularly files H-1B petitions for technology and quantitative roles. Sponsorship is most common for full-time positions within its technology and AI divisions. Contract or contingent roles are less likely to come with sponsorship.
Which visa types does JPMorganChase commonly use for Machine Learning Engineer roles?
JPMorganChase sponsors several visa categories for Machine Learning Engineers, including the H-1B, H-1B1 for Chilean and Singaporean nationals, and the E-3 for Australian citizens. For candidates pursuing permanent residence, the firm also supports EB-2 and EB-3 Green Card pathways, typically through the PERM labor certification process filed with DOL.
How do I apply for Machine Learning Engineer jobs at JPMorganChase?
Applications go through JPMorganChase's careers portal, where you can filter by job function and location. For roles that explicitly require or support visa sponsorship, Migrate Mate surfaces these openings in one place so you can identify them without manually checking each listing. Tailor your resume to emphasize production ML experience relevant to financial services before applying.
What qualifications does JPMorganChase expect for Machine Learning Engineer candidates?
Most Machine Learning Engineer roles at JPMorganChase expect a master's or PhD in computer science, statistics, or a related quantitative field, combined with hands-on experience building and deploying ML systems at scale. Proficiency in Python, familiarity with MLOps practices, and experience with large structured datasets are consistently required across their job postings.
How do I understand the visa filing timeline when joining JPMorganChase on an H-1B?
H-1B cap-subject petitions are filed in April for an October 1 start date, so offers made outside that window typically require waiting for the next cycle unless you're transferring an existing H-1B. JPMorganChase's HR team coordinates filing through internal legal counsel, and USCIS standard processing runs three to five months. Premium processing reduces this to roughly two weeks.
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