Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions.
We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment.
As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change.
Job Responsibilities:
- Design and deliver enterprise-grade machine learning systems
- Collaborate with cloud and SRE teams to build robust production architectures
- Translate scientific research into scalable ML solutions
- Develop and deploy business-critical, data-intensive applications
- Implement distributed, multi-threaded, and scalable applications
- Build, test, and deploy automated pipelines for ML solutions
- Leverage foundational libraries and services for re-use across teams
- Apply best practices in software engineering and computer science
- Utilize MLOps tools for versioning, reproducibility, and observability
- Align ML problem definitions with business objectives
- Mentor and support team members, with optional management responsibilities
Required Qualifications, Capabilities, and Skills:
- Experience in machine learning engineering roles
- Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)
- Proven ability to develop and deploy business-critical, data-intensive applications
- Extensive experience with AWS and Kubernetes
- Proficiency with lower-level libraries such as PyTorch and NumPy
- Hands-on experience implementing distributed, multi-threaded, and scalable applications
- Experience with automated building, testing, and deployment pipelines
- Familiarity with higher-level interfaces like Pydantic AI and Langraph
- Strong understanding of computer science fundamentals and development best practices
- Broad knowledge of MLOps tooling for versioning, reproducibility, and observability
- Ability to understand business objectives and align ML problem definitions
Preferred Qualifications, Capabilities, and Skills:
- Experience mentoring or leading teams
- Knowledge of agentic AI concepts
- Experience designing reusable libraries and services
- Interest in bridging scientific theory and enterprise-grade systems
- Passion for innovation and continuous learning
Why Join Us?
You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide.
Skills Required
- Experience in machine learning engineering roles
- Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)
- Proven ability to develop and deploy business-critical, data-intensive applications
- Extensive experience with AWS and Kubernetes
- Proficiency with lower-level libraries such as PyTorch and NumPy
- Hands-on experience implementing distributed, multi-threaded, and scalable applications
- Experience with automated building, testing, and deployment pipelines
- Familiarity with higher-level interfaces like Pydantic AI and Langraph
- Strong understanding of computer science fundamentals and development best practices
- Broad knowledge of MLOps tooling for versioning, reproducibility, and observability
- Ability to understand business objectives and align ML problem definitions
- Experience mentoring or leading teams
- Knowledge of agentic AI concepts
- Experience designing reusable libraries and services
- Interest in bridging scientific theory and enterprise-grade systems
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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