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 Applied AI ML Lead- 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
- Formal training or certification on artificial intelligence and machine learning concepts and 5+ years 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
- 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
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 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.
Skills Required
- Formal training or certification in AI/ML and 5+ years applied experience
- Advanced proficiency in Python and 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 to deliver production-ready prototypes
- Awareness of inference cost, performance, and optimization techniques
- Strong communication skills to translate research into business and engineering terms
- Published in top-tier AIML venue or equivalent open-source / applied-research contributions
- MSc or PhD in Machine Learning, Computer Science, or related quantitative field, or equivalent applied experience
- 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)
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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