JP Morgan Chase & Co.

Applied AI ML Researcher Lead

JP Morgan Chase & Co.$130K — $180K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of applied experience in artificial intelligence and machine learning
  • Advanced degree (Master’s or Doctorate) in Computer Science, Machine Learning, Statistics, or a related field
  • Experience in designing experiments for machine learning systems with clear metrics
  • Proven ability to deploy machine learning applications into production with operational excellence
  • Strong coding skills in modern programming languages and machine learning frameworks
  • Experience with distributed computing and state management for agents
  • Ability to lead cross-functional teams and communicate technical topics effectively

Responsibilities

  • Architect and deliver generative AI and agent-based solutions for operational workflows
  • Translate complex business problems into actionable research and engineering plans
  • Build reliable multi-agent systems that improve through evaluation and feedback
  • Design reusable services and architectures to support applied AI teams
  • Establish rigorous evaluation practices for continuous improvement
  • Mentor applied AI engineers to foster a culture of continuous learning
  • Collaborate with business and technology teams to scale AI solutions responsibly

Benefits

  • Opportunities for career advancement within a global leader in financial services
  • Dynamic team environment focused on innovation and impact
  • Access to cutting-edge technology and resources
  • Comprehensive professional development programs
  • Inclusive culture that values diverse perspectives
Full Job Description
JOB DESCRIPTION

As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within the Applied AI Research team in Commercial and Investment Banking, you will help build autonomous agent systems that can reason, plan, act, and learn to solve high-impact business problems. You will bridge cutting-edge research and enterprise-grade delivery, shaping how applied AI is designed, evaluated, and deployed at scale. You will partner closely with business and technology stakeholders to translate priority needs into measurable outcomes, while raising engineering and scientific standards across the team.

Job Responsibilities
  • Architect and deliver generative artificial intelligence and agent-based solutions that automate complex operational workflows end-to-end
  • Translate priority business problems into research and engineering plans, success metrics, and scalable solution designs
  • Build multi-agent systems that collaborate reliably, coordinate tasks, and improve over time through feedback and evaluation
  • Design reusable services, libraries, and reference architectures that accelerate adoption across applied AI teams
  • Establish rigorous experimentation practices, including offline/online evaluation, ablation testing, and error analysis, to drive measurable improvements
  • Mentor and develop applied AI engineers and researchers, fostering a culture of scientific rigor, ownership, and continuous learning
  • Partner with stakeholders across business and technology teams to scale solutions responsibly, balancing performance, reliability, and security
Required Qualifications, Capabilities, and Skills
  • Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
  • Advanced degree (Master’s or Doctorate) in Computer Science, Machine Learning, Statistics, or a related quantitative field
  • Demonstrated experience designing experiments and evaluations for machine learning systems, including clear metrics and reproducible results
  • Proven track record deploying machine learning applications into production environments with operational excellence (monitoring, reliability, and lifecycle management)
  • Strong software engineering skills in modern programming languages and machine learning frameworks, with experience building reusable components
  • Experience with distributed computing patterns for training and serving, and with state management for agent workflows
  • Ability to lead through influence across cross-functional teams, translating complex technical topics for varied audiences
Preferred Qualifications, Capabilities, and Skills
  • Experience building and evaluating autonomous agent systems (planning, tool-use, orchestration, and multi-agent coordination)
  • Experience with cloud-based machine learning platforms, such as Amazon Web Services (AWS) SageMaker or Amazon Bedrock
  • Publications, open-source contributions, or other evidence of applied research impact in machine learning or generative artificial intelligence
  • Familiarity with financial services domains and operational processes, including risk-aware design and production constraints

#LI-RB3

#CIBAppliedAI

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ

Similar Jobs

More Jobs at JP Morgan Chase & Co.

More Finance & Insurance Jobs

Find similar Applied AI ML Researcher Lead jobs: