2026 Applied AI/ML Associate Program - Internship

Job Description
Join the LLM Suite team at the Chief Analytics Office (CAO), the driving force behind firm-wide generative AI innovation at our company. As part of our mission, we develop, deploy, and scale LLM Suite-our proprietary platform for secure, enterprise-grade generative AI-empowering teams across the organization to unlock new value from data.
As a Summer Associate in the LLM Suite team at the Chief Analytics Office, you will advance generative AI by working hands-on with state-of-the-art Large Language Models (LLMs) and Multimodal LLMs, promoting the evolution of our LLM Suite platform. You will build scalable AI solutions by designing and optimizing reusable APIs and microservices that power LLM Suite, enabling seamless integration and rapid development of AI-promoten products. You will collaborate across disciplines by partnering with Cloud Engineering to deliver robust, production-ready generative AI solutions. You will promote responsible AI by helping shape governance, controls, and ethical standards for generative AI and data use across the firm.
Job Responsibilities

• Leverage vast data assets and cutting-edge generative AI models within LLM Suite to deliver impactful analytics and agentic workflows.
• Bridge scientific research and software engineering, applying expertise in both to advance LLM Suite's capabilities.
• Lead the design and delivery of scalable, production architectures for generative AI applications.
• Empower teams to build their own ML products using LLM Suite, fostering a culture of innovation and collaboration.

Required qualifications, capabilities, and skills

• Currently enrolled in a PhD program in a quantitative discipline (e.g., Computer Science, Computer Engineering).
• Deep understanding of statistics, optimization, and machine learning theory, with emphasis on NLP, RL, and/or Computer Vision algorithms.
• Foundational knowledge of cloud engineering and distributed systems.
• Excellent communication skills to convey complex technical concepts and build trust with stakeholders.

Preferred qualifications, capabilities, and skills

• Hands-on expertise in parameter-efficient fine-tuning, model quantization, and quantization-aware training for LLMs.
• Familiarity with advanced prompting strategies (Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts) for generative AI.
• Demonstrated experience with agentic workflows and orchestration patterns for automating and coordinating complex AI tasks.
• Experience building batch and streaming microservices, exposed via gRPC and/or GraphQL, for AI/ML platforms.
• Published research in natural language processing or deep learning at major conferences or journals.

About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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.