[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All JPMorganChase jobs](https://jobs.opennash.com/companies/jpmorganchase/) · [Search jobs](/search/)

JPMorganChase · New York, NY

# Applied AI ML-Senior Associate

New York, NY, United States Senior individual contributor Data & Analytics 

Listed on JPMorganChase’s official careers site. Posted April 7, 2026. Check that it is still open and apply there.
[Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210733008)

[OpenNash Jobs](https://jobs.opennash.com/) / [JPMorganChase](https://jobs.opennash.com/companies/jpmorganchase/) / Applied AI ML-Senior Associate

## Job description

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/ML Senior Associate in our AI for Operations organization, you will help design, build, and scale cutting-edge Natural Language Processing (NLP) solutions that improve experiences for both customers and internal agents supporting the bank’s day-to-day operations.

You’ll work hands-on across the end-to-end model lifecycle—partnering with product, engineering, operations, and risk stakeholders to translate real operational needs into production-grade language capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.

### Job Responsibilities

Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems. Contribute to the full product development lifecycle, including defining the objective and key product deliverables. Act as an advanced contributor in system development, computer algorithms, NLP and machine learning. Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.

### Required qualifications, capabilities, and skills

Undergraduate and master’s degrees in Computer Science, with training and work experience in LLM/NLP and search. Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders. Advanced demonstratable programming skills of 2 years (masters or industry experience) on more than 1 programming language is required such as Spark, Python, Scala, Java. Can learn quickly programming in another programming language and seamlessly.

Full understanding of and hands-on programming with data structures, algorithms, operating systems, compilers, databases, and systems.

### Preferred qualifications, capabilities, and skills

Undergraduate and master’s degree in computer science with concentration in NLP or Search experience. 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).

## At a glance
- Posted by the employer: Apr 7, 2026
- First seen by OpenNash: Jul 10, 2026
- Last checked: Oct 13, 2026
- Listed for: 189 days
- Location: New York, NY, United States[Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210733008)

## More jobs at JPMorganChase

### [2027 Data & AI Program - Full Time - Analyst - United States](https://jobs.opennash.com/companies/jpmorganchase/jobs/20b7bb30ee61f1d3395f/)

New York, NY, United States

### [2027 Machine Learning Center of Excellence (NLP) - Summer Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/fce7b8ec7f86cee8f334/)

New York, NY, United States

### [AI Data Scientist - Senior Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/f34ef02705f834de5976/)

New York, NY, United States

### [AI Governance Senior Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/7a3ad0afdbcd848b11ab/)

New York, NY, United States

### [Advanced Treasury Analytics Markets - Vice President](https://jobs.opennash.com/companies/jpmorganchase/jobs/2de528a54b259216701e/)

New York, NY, United States

## Similar jobs at other companies

### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/)

Oracle · United States

### [Applied ML Engineer](https://jobs.opennash.com/companies/microsoft/jobs/f462a608b753c4ecd71d/)

Microsoft · United States, Washington, Redmond

### [Applied Researcher 1](https://jobs.opennash.com/companies/ebay/jobs/446f6c4cf76f183fbba3/)

eBay · San Jose, California

### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/)

Microsoft · United States, Washington, Redmond

### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/)

Walmart · United States

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)
