We’re looking for an Applied AI Scientist with strong machine learning experience to join our AI Technologies team.
In this role, you’ll help build practical machine learning and generative AI solutions that can move from experimentation into production. You’ll work closely with product owners, data engineers, software engineers, and other ML practitioners to design, test, improve, and deploy AI/ML capabilities at scale.
This is a hands-on role for someone who enjoys solving technical problems, writing code, experimenting with new approaches, and turning ideas into reliable systems.
Job Responsibilities:
- Apply machine learning, deep learning, and generative AI techniques to business problems
- Design, run, and evaluate ML experiments using current tools and frameworks
- Work with large language models, AI agents, and related methods to enhance ML workflows
- Write production-quality code and own solutions from proof of concept to deployment
- Improve model accuracy, reliability, and performance by identifying optimization opportunities
- Partner with product and engineering teams to build scalable and maintainable solutions
- Contribute technical expertise to model design and platform implementation decisions
- Share knowledge and help elevate the technical standard of our ML work
Required Qualifications, Capabilities, and Skills:
- STEM degree or equivalent practical experience
- Applied experience with machine learning and deep learning methods
- Proficiency in Python and programming experience in Java, C/C++, or similar languages
- Ability to take ownership of tasks and deliver results with limited supervision
- Strong attention to detail and follow-through
- Effective communication skills and ability to collaborate in a team environment
- Experience working with engineers, product managers, and ML practitioners
Preferred Qualifications, Capabilities, and Skills:
- Experience with large language models, including agents, planning, or reasoning techniques
- Experience building and deploying ML models on cloud platforms
- Familiarity with AWS tools such as SageMaker, EKS, or similar services
Skills Required
- STEM degree or equivalent practical experience
- Applied experience with machine learning and deep learning methods
- Proficiency in Python
- Programming experience in Java, C, C++, or similar languages
- Ability to take ownership of tasks and deliver results with limited supervision
- Strong attention to detail and follow-through
- Effective communication and collaboration skills
- Experience working with engineers, product managers, and ML practitioners
- Experience with large language models, agents, planning, or reasoning techniques
- Experience building and deploying ML models on cloud platforms
- Familiarity with AWS SageMaker, EKS, or similar services
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 broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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