Applied AI ML - Sr. Associate

JPMorgan Chase & Co.New York, NY
11h

About The Position

We’re building the AI‑native, data‑driven future of HR at a leading global financial institution. With 300,000+ employees across 60+ countries, our AI team in HR Data and Analytics develops research and production solutions that help leaders make smarter, evidence‑based decisions—shaping how our global workforce operates. As a Vice President – Applied AI/ML in HR Data and Analytics, you apply quantitative, data science, and analytical skills to complex workforce challenges. You partner with domain experts and cross‑functional teams to design, develop, and scale AI/ML solutions from foundational research through production deployment. Your work drives strategic initiatives that shape the firm’s business and the employee experience at scale, with opportunities for personal and professional growth on a world‑class data science team. 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. 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 for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Human Resources plays a critical role in driving the employee experience, shaping the firm’s culture and building a diverse and inclusive workforce. We are a strategic partner to the business — working with leaders across the firm to hire, develop and retain the best people and help meet business goals. Together, we foster a work environment in which our people are supported, feel like they belong and are able to make an impact through their work. We develop and deliver a suite of products and services that help make JPMorgan Chase an employer of choice and drive our business forward.

Requirements

  • Advanced degree (master’s or higher) in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or a related quantitative discipline.
  • 2+ years of experience developing and deploying AI/ML solutions with hands‑on coding and end‑to‑end solution design.
  • Strong programming skills in Python; including experience with libraries such as TensorFlow, PyTorch, Keras, or scikit‑learn.
  • Demonstrated expertise in machine learning techniques (supervised, unsupervised, semi‑supervised), natural language processing (NLP), generative AI, or computer vision.
  • Practical experience with Large Language Models (LLMs), including fine‑tuning, prompt and context engineering, and RAG pipelines.
  • Understanding of agentic AI systems and their design principles.
  • Demonstrate strong analytical and problem‑solving skills; thrive in cross‑functional, collaborative team environments.

Nice To Haves

  • Hold a PhD in a relevant discipline.
  • Experience in the financial services industry.

Responsibilities

  • Engage with stakeholders to identify and define business needs and opportunities, and design technical solutions to address them.
  • Partner with product managers, engineers, and functional experts across the end‑to‑end AI/ML lifecycle—conception, validation, scaling, production delivery, and performance monitoring.
  • Perform AI model evaluations and monitoring; develop structured verification systems to ensure accuracy, safety, and reliability.
  • Conduct research that advances the technical foundations of AI and data science capabilities.
  • Collaborate with teams across the firm to advance mission and vision.

Benefits

  • 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
  • comprehensive health care coverage
  • on-site health and wellness centers
  • a retirement savings plan
  • backup childcare
  • tuition reimbursement
  • mental health support
  • financial coaching
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