
Applied AI ML, Associate
New York, NYFull-time$124–170K/yrSeen todaySeen in employer's feed today
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near New York, NY, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Requirements
Credentials this posting asks for.
Job overview
The Applied AI Research team in JPMorganChase’s Commercial & Investment Bank builds autonomous agents and generative AI solutions for operational problems. The Associate contributes to applied research, model development, and enterprise-ready delivery, translating business needs into measurable outcomes. The role involves developing and evaluating agent workflows, reusable components, and production-ready solutions in collaboration with business and technology stakeholders.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Applied AI ML, Associate
New York, NY, United States
Job Information
-
Job Identification 210805165
-
Job Category Predictive Science
-
Business Unit Commercial & Investment Bank
-
Posting Date 10/30/2026, 05:19 AM
-
Locations 277 Park Ave, New York, NY, 10172, US
-
Job Schedule Full time
-
Base Pay/Salary New York,NY $124,000.00-$170,000.00
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. You will join a team transforming operations by leveraging advancements in agent-based AI and modern generative AI techniques.
As an Applied Artificial Intelligence and Machine Learning Associate at JPMorganChase within the Applied AI Research team in the Commercial & Investment Bank, you will contribute to building autonomous agent systems that solve high-impact business problems. You will help translate business needs into measurable outcomes by supporting applied research, model development, and enterprise-ready delivery. You will work in a collaborative environment that values ownership, learning, and responsible adoption of modern AI.
Job responsibilities
-
Build and enhance generative AI and agent-based solutions that support automation of complex operational workflows
-
Translate business problems into clear technical approaches, success metrics, and experiment plans with guidance from senior team members
-
Develop and test agent workflows (planning, tool-use, and orchestration) to improve task reliability and measurable performance
-
Implement reusable components (services, libraries, and reference patterns) that accelerate applied AI delivery across teams
-
Execute rigorous evaluation practices, including offline/online testing, error analysis, and quality measurement to drive improvements
-
Partner with stakeholders across business and technology teams to gather requirements, communicate tradeoffs, and support production readiness
-
Contribute to responsible scaling by considering reliability, security-mindedness, and operational constraints in design and implementation
Required qualifications, capabilities and skills
-
Formal training or certification on applied artificial intelligence and machine learning concepts and 2+ years applied experience
-
Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field (or equivalent practical experience)
-
Hands-on experience building production-grade software in Python, including testing, refactoring, and version control best practices
-
Experience applying machine learning methods to real-world problems and evaluating results using clear, reproducible metrics
-
Experience deploying or supporting services in a cloud environment with attention to reliability, observability, and latency
-
Strong fundamentals in software engineering (data structures, algorithms, and object-oriented design) and applied problem solving
-
Strong communication skills and ability to collaborate effectively with technical and non-technical partners
Preferred qualifications, capabilities and skills
-
Experience building or evaluating autonomous agent systems (planning, tool-use, orchestration, or multi-agent coordination)
-
Experience with cloud-based machine learning platforms, such as Amazon Web Services (AWS) SageMaker or Amazon Bedrock
-
Experience building and evaluating large language model solutions using structured evaluation approaches and safety guardrails
-
Publications, open-source contributions, or other evidence of applied research impact in machine learning or generative AI
-
Familiarity with financial services domains and operational processes, including risk-aware design and production constraints
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 (https://careers.jpmorgan.com/us/en/how-we-hire/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.
How this job compares
Set against the 2,128 open Machine Learning jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This posting$124–170K/yr
- New York median$172–249K/yr154 salary ranges
- US median$155–260K/yr1,559 salary ranges
This range's midpoint, $147K, is 31% below the New York median midpoint ($213K) — in the lowest quarter of Machine Learning salary ranges in New York.
- Openings
- Olive Jobs lists 194 open Machine Learning jobs in New York and 2,128 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- Capital One20 open
- Amazon13 open
- JPMorgan Chase (this employer)13 open
- Experience
- This posting asks for at least 2 years of experience — less than three in four Machine Learning postings that state a minimum ask for (median 5 years, across 1,599 postings).
- Education
- 854 of the 2,128 open Machine Learning jobs (40%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
You've read the whole posting — now see how you match it.