Artificial Intelligence Research - Senior Associate

Job Overview JPMorganChase AI Research is a global team of research scientists, engineers and product managers that develops novel AI capabilities and partners across the firm to translate breakthrough AI/ML techniques into deployed solutions. The team brings together researchers across multi‑agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification, and synthetic data generation – alongside experts in trustworthy AI, privacy, and cryptography – to solve hard problems end‑to‑end in ways that are secure, reliable, and scalable in financial services. AI Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase, which is responsible for accelerating the firm’s data and analytics journey, ensuring quality, integrity and security of the firm’s data, and leveraging this data to generate insights and drive decision‑making. The CDAO develops and implements solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management in a responsible manner. As a Senior Associate in AI Research, you will develop novel techniques, tools, and frameworks to model and solve complex large‑scale problems in the bank. You will gain a close understanding of the challenges in practical applications of AI, and leverage that understanding to formulate new research directions and solutions that can shift the frontier. Your work will span from early‑stage innovation and rigorous evaluation to production‑scale delivery in close collaboration with engineering and product teams. Job Responsibilities Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses, e.g. Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc. Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments and rigorous evaluations, synthesize and communicate results, and deliver well‑tested, high‑quality code. Contribute to high‑impact business applications, reusable assets and products, and research initiatives. Provide thought leadership on internal and external forums through white papers, publications and presentations. Required Qualifications, Capabilities & Skills Fresh PhD or MS in Computer Science, Engineering, or related fields with 2+ years of relevant research experience in AI/ML. Research publications in top‑tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, ICAPS, CRYPTO). Ability to deliver modular, optimised, high‑quality Python code with tests. Deep understanding of fundamental AI/ML techniques and a strong grasp of current state‑of‑the‑art in specific areas of expertise. Practical experience with statistical data analysis, experimental design and creation of meaningful benchmarks and metrics for evaluation. Effective verbal and written communication skills with the ability to address both technical and business audiences. Motivated to make an impact on problems in the financial services domain. Curiosity, creativity, resourcefulness, and a collaborative spirit. Researchers across multiple areas: Synthetic Data Generation across modalities (tabular, images, time‑series), synthetic personas and agent simulations; Multimodal agent security and safety, alignment, guardrails, red teaming, data privacy and unlearning; Continual learning for agents; Advanced multi‑agent systems, foundation model training for various modalities; Formally verified models and program/hardware verification. Preferred Qualifications, Capabilities & Skills Practical experience with ML libraries (e.g., PyTorch, TensorFlow/Keras, HuggingFace Transformers) and agent frameworks (e.g., LangGraph, Google ADK). Familiarity with formal verification tools and languages (e.g., Coq/Isabelle/Lean, TLA+, Alloy, Z3, PDDL). Practical software development experience in collaborative project settings such as open‑source or industry experience. Proven ability to translate business requirements into technical problem formulations and deliver novel solutions into production. Equal Opportunity Employer (EEO) Statement 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. #J-18808-Ljbffr JPMorganChase