Machine Learning Engineer Jobs at JPMorganChase with Visa Sponsorship
Machine Learning Engineer jobs at JPMorganChase span model development, NLP, and production ML systems across its technology, risk, and quantitative research divisions. 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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Job Description
Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models. As an Applied AI ML Researcher Director in the Applied AI Research team, you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.
Job Responsibilities
- Architect and develop GenAI and agentic solutions to automate complex operational processes
- Assist Lines of Business and teams to directly solve priority use cases within the domain
- Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
- Design and build services and libraries that AI teams want to use
- Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
- Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability
- Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale solutions and maximize impact
Required Qualifications, Capabilities, And Skills
- PhD in Computer Science or a related quantitative discipline with 8+ years of relevant experience or MS in Computer Science or a related field with 12+ years of relevant experience
- Research experience or work in a top commercial AI research lab
- Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
- Proven track record of deploying AI/ML applications in a production environment at scale
- Familiarity with distributed computing patterns for training, serving, and persistence of state
- Experience integrating user feedback to establish agentic refinement and self-improving AI applications
- Experience in building and leading high-performing AI teams
Preferred Qualifications, Capabilities, And Skills
- Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required
FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See all 37+ Machine Learning Engineer Jobs at JPMorganChase
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Get Access To All JobsTips for Finding Machine Learning Engineer Jobs at JPMorganChase
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.
Frequently 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 visa for Chilean and Singaporean nationals, and the E-3 visa 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.