JP Morgan Chase & Co.

Machine Learning Scientist - Vice President

JP Morgan Chase & Co. • $175K — $210K *
Plano, TX 75025In-Person
Consumer Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • MS with 7+ years or PhD with 4+ years of hands-on industry experience in machine learning systems in production.
  • Good understanding of recent advancements in NLP concepts, especially transformer architecture.
  • Experience with Generative AI and deploying fine-tuned LLMs for specific applications, including prompt design.
  • Experience in scaling LLM systems with techniques like caching and batching.
  • Strong foundation in machine learning, deep learning, and statistical modeling.
  • Solid understanding of Information Retrieval and/or recommendation systems.
  • Proficiency in Python and major ML libraries like PyTorch and TensorFlow.

Responsibilities

  • Lead and deploy advanced machine learning systems in areas like NLP and recommendation systems.
  • Design and build agentic AI systems for complex workflows.
  • Use reinforcement learning to enhance personalization and decision-making systems.
  • Fine-tune and adapt LLMs using state-of-the-art techniques.
  • Select and innovate ML strategies tailored for banking challenges.
  • Evaluate and analyze the performance of existing ML systems.
  • Collaborate with various teams to ensure successful deployment of solutions.

Benefits

  • Collaborative work environment with cross-functional teams.
  • Opportunities for professional growth and innovation.
  • Access to cutting-edge tools and technology in banking.
  • Support for research and independent learning in AI and ML fields.
Full Job Description
As an Applied AI Machine Learning Lead, you will lead the development of scalable, production-grade advanced ML solutions across natural language processing, speech recognition, recommendation systems, information retrieval, and agentic AI. You will play a key role in delivering Generative AI capabilities - designing and productionizing LLM-powered systems such as RAG (Retrieval Augmented Generation), tool/function-calling agents, and structured generation to automate complex workflows and improve customer experiences. You will collaborate with product, engineering, and control partners to translate ambiguous problems into measurable goals, deliver robust models, and operate them reliably in production. You bring strong deep learning and transformer-based modeling expertise, as well as hands-on experience in fine-tuning and evaluation. You must have a strong passion for machine learning, strong analytical thinking, a deep desire to learn, and high motivation. You must also invest independent time in learning, researching, and experimenting with new innovations, and contribute to a strong knowledge-sharing culture. Job responsibilities
  • Lead and deploy state-of-the-art advanced machine learning systems across NLP, speech recognition, recommendation systems, and information retrieval.
  • Design and build agentic AI systems for multi-step workflows, including tool/function calling, multi-agent orchestration, planning, grounding, and safety guardrails.
  • Use reinforcement learning (policy optimization, bandits, RLHF-style approaches where appropriate) to improve personalization, dialog policies, and sequential decision-making systems.
  • Fine-tune and adapt LLMs/SLMs using PEFT (LoRA, AdaLoRA, IA3), distillation, and quantization; optimize for quality, latency, cost, and production constraints.
  • Select and innovate on ML strategies for various banking problems.
  • Analyze and evaluate the ongoing performance of developed ML systems.
  • Collaborate with multiple partner teams, such as Business, Technology, Product Management, Design, Analytics, and Model Governance to deploy solutions into production.
  • Build domain understanding to identify high-impact opportunities, ensure responsible AI usage, and drive measurable outcomes (customer experience, automation, accuracy, and efficiency).
  • Implement privacy, safety, and security controls for GenAI systems, including PCI handling/redaction, policy checks, jailbreak resistance, and auditability.
Required qualifications, capabilities, and skills
  • MS with 7+ years, or PhD with 4+ years of hand-on industry experience in building and deploying machine learning systems (NLP/Information Retrieval/Recommendation System and/or GenAI) in production environment
  • Good understanding of the latest advancement of NLP concepts, such as the transformer architecture, knowledge distillation, transfer learning, and representation learning.
  • Applied GenAI experience with LLMs and the ability to fine-tune and deploy SLMs for targeted use cases, familiarity with prompt design, grounded generation, and RAG.
  • Experience with scaling LLM systems (caching, batching, prompt/version governance, evaluation harnesses)
  • Strong foundation in machine learning, deep learning, and statistical modelling, including model evaluation and error analysis.
  • Solid understanding of Information Retrieval concepts (indexing, ranking, dense/sparse retrieval, re-ranking) and/or recommendation systems.
  • Ability to design experiments - establish strong baselines, choose meaningful metrics, and evaluate model performance rigorously
  • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
  • Proficiency in Python and common ML libraries (PyTorch/TensorFlow, Hugging Face, scikit-learn), and ability to write production-quality code.
  • Ability to collaborate in cross-functional environments with product, engineering, and control partners.
  • Solid written and spoken communication skills
Preferred qualifications, capabilities, and skills
  • 5 years of hands-on experience with virtual assistant model development and optimization
  • Experience orchestrating multi-agent teams with supervisor agents, debate/consensus mechanisms, and role-specialized toolkits for complex enterprise tasks.
  • Building agent governance and eval suites: red-teaming, adversarial tests, safety scorecards, regression suites for prompts/tools
  • Experience with RL/bandits, preference optimization, or human feedback loops for personalization.
  • Experience in regulated finance domains and working with risk/control processes.
  • Experience with MLOps/LLMOps: CI/CD for models, monitoring/alerting, model versioning, evaluation of pipelines, and rollback strategies.
  • Experience with A/B experimentation and data/metric-driven product development.
    • About the Team Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

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
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at JP Morgan Chase & Co.

More Consumer Technology Jobs

Find similar Machine Learning Scientist - Vice President jobs:

NationwidePlano, TX