Applied AIML Lead Research Engineer

JOB DESCRIPTION

We're looking for a hands-on AI research engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.

As an AI Research Engineer - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will lead applied research that positions the team for capabilities we will need over the coming years. You will evaluate and prototype emerging techniques (open-source LLMs, fine-tuning, efficient inference, and multimodal models) and bridge them into production-grade capabilities, working closely with the team's engineers so that research translates into shipped product rather than staying on the bench.

This is a Vice President-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech.

Job responsibilities

Leads applied research into open-source LLM evaluation and deployment for cost, sovereignty, and data-residency optionality

Runs fine-tuning work for tone, lexicon, and domain-specific tasks that are currently brittle in prompts

Investigates inference efficiency and tokenomics: cost-per-output, model routing, and optimisation of production inference

Prototypes voice and image/multimodal capabilities (speech-to-text, text-to-speech, voice agents, document and image understanding) to underwrite future user-facing experiences

Designs rigorous evaluation methodologies and benchmarks so research findings are measurable and reproducible

Partners with AI and platform engineers to productionise research outputs, each tied to a real platform or product need

Publishes internal findings and raises the team's collective capability through knowledge-sharing; acts as a recruiting and thought-leadership magnet

Champions the firm's culture of diversity, Opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on artificial intelligence and machine learning concepts and applied experience

Advanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face)

Hands-on experience evaluating, fine-tuning, and deploying Large Language Models

Strong grounding in experimental design, evaluation, and benchmarking of ML systems

Ability to bridge research and engineering: prototypes that become production-ready capabilities

Awareness of inference cost, performance, and optimisation techniques

Strong communication skills, including translating research into business and engineering terms

Published in a top-tier AIML venue (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR), or equivalent open-source / applied-research contributions in LLMs, fine-tuning, or efficient inference

MSc or PhD in Machine Learning, Computer Science, or a related quantitative field, or equivalent applied experience

Preferred qualifications, capabilities, and skills

Experience with speech / voice models and audio ML

Experience within financial services, particularly wealth, private banking, or asset management

Familiarity with data-residency, sovereignty, and Responsible AI considerations for regulated environments

Familiarity with JPM-internal AI/ML infrastructure for internal candidates

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.

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.