We're looking for an Applied AI Scientist with strong machine learning experience to join our AI Technologies team.
In this role, you'll help build practical machine learning and generative AI solutions that can move from experimentation into production. You'll work closely with product owners, data engineers, software engineers, and other ML practitioners to design, test, improve, and deploy AI/ML capabilities at scale.
This is a hands-on role for someone who enjoys solving technical problems, writing code, experimenting with new approaches, and turning ideas into reliable systems.
Job Responsibilities:- Define problems, success measures, and technical approaches with product and engineering teams.
- Design experiments, establish baselines, and benchmark models and agent systems. Investigate failures and use the results to guide improvements.
- Own Python development from experimental prototypes to tested production code, working with engineers on deployment and monitoring.
- Make and explain trade-offs between model quality, reliability, latency, and cost.
- Lead technical design reviews and mentor other ML practitioners.
- Work with engineering and control teams to meet data, model governance, and security requirements.
Required Qualifications, Capabilities, and Skills:- At least five years of applied ML experience, including leading complex technical work and taking models into production.
- Strong knowledge of machine learning and deep learning, with experience selecting methods, designing experiments, and evaluating results.
- Strong Python skills and experience writing tested, maintainable software.
- Hands-on experience building and evaluating LLM-based systems, including retrieval, tool use, or agent orchestration.
- The ability to turn unclear requirements into testable problems, drive work independently, and explain technical decisions clearly.
- A STEM degree or equivalent practical experience.
Preferred Qualifications, Capabilities, and Skills:- Experience fine-tuning models or optimizing inference, using frameworks such as PyTorch or TensorFlow.
- Experience deploying and operating ML systems on cloud platforms, particularly AWS services such as SageMaker or EKS.
- Programming experience in Java, C/C++, or another production language.
ABOUT USJ.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.
ABOUT THE TEAMJ.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
