Join the Applied Innovation of AI team, a premier machine learning group within the Chief Technology Office of JP Morgan Chase. We tackle crucial business priorities using innovative machine learning techniques, focusing on Software, Cybersecurity, and Technology Infrastructure. 

As an Applied AI ML Lead - Senior Machine Learning Scientist within the Applied Innovation of AI (AI2) team, you will apply sophisticated machine learning methods to a wide variety of complex tasks, collaborate closely with stakeholders, and invest independent time towards learning, researching, and experimenting with new innovations in the field. This role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.

Job responsibilities

• Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation
• Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure
• Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production
• Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
• Contribute to reusable code and components that are shared internally and also ext

Required qualifications, capabilities and skills

• PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science. Or an MS with full time industry or research experience in the field.
• Hands-on experience and solid understanding of machine learning and deep learning methods
• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Scientific thinking and the ability to invent
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with big data and scalable model training
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
• Curious, hardworking and detail-oriented, and motivated by complex analytical problems
• Ability to work both independently and in highly collaborative team environments

Preferred qualifications, capabilities and skills

• Strong background in Mathematics and Statistics
• Familiarity with the financial services industries
• Experience with A/B experimentation and data/metric-driven product development
• Experience with cloud-native deployment in a large scale distributed environment
• Knowledge of large language models (LLMs) and accompanying toolsets the LLM ecosystem (e.g. Langchain, Vector databases, opensource Hugging Face Models)
• Knowledge in Reinforcement Learning or Meta Learning
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
• Ability to develop and debug production-quality code
• Familiarity with continuous integration models and unit test development

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.