Job DescriptionThe GT CDAO team is an elite machine learning group strategically located within the Chief Technology Office of JP Morgan Chase. GT CDAO tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with stakeholders in these areas to execute projects that require Generative AI and machine learning development to support JPMC businesses as they grow.
Strategically positioned in the Chief Technology Office, our work spans across Cybersecurity, Global Technology Infrastructure and the Software Development Lifecycle (SDLC). With this unparalleled access to technology groups in the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.
As an Applied AI/ML Lead, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining , exploratory data analysis and visualization, text understanding and embedding, anomaly detection in time series and log data, large language models (LLMs) and generative AI, reinforcement learning and recommendation systems. You must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You must also have a passion for AI and machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.
AI Engineering (Production & MLOps): In addition to applied research, ML specialists in this role are expected to operate as AI engineers-designing, building, and maintaining production-ready ML/GenAI systems. This includes writing high-quality, well-tested code; applying strong software engineering practices (version control, code reviews, documentation, modular design, and secure coding); and partnering with platform and engineering teams to implement CI/CD, reproducible training/inference pipelines, model/version governance, performance optimization, monitoring/alerting, and reliable deployment patterns across batch and real-time use cases.
Job Responsibilities - Build and maintain production-ready AI/ML services and pipelines by applying best-in-class software engineering practices (clean, modular code; testing; code reviews; documentation; CI/CD), and ensuring robust deployment, monitoring, and ongoing performance/reliability of models in production.
- Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure
- Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production
- Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
- Contribute to reusable code and components that are shared internally and also externally
- Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation
Required qualifications, capabilities and skills - PhD or MSc in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.)
- Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning)
- Strong AI Engineering skills and experience - core technical, software, and application-building skills to design, deploy, and maintain reliable artificial intelligence systems.
- Hands-on experience and solid understanding of machine learning and deep learning methods
- Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Scientific thinking and the ability to invent
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Experience with big data and scalable model training
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Curious, hardworking and detail-oriented, and motivated by complex analytical problems
- Ability to work both independently and in highly collaborative team environments
Preferred qualifications, capabilities and skills - Strong background in Mathematics and Statistics
- Familiarity with the financial services industries
- Experience with A/B experimentation and data/metric-driven product development
- Experience with cloud-native deployment in a large scale distributed environment
- Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
- Ability to develop and debug production-quality code
- Familiarity with continuous integration models and unit test development
About UsJPMorganChase, 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 for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the TeamOur 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.
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