NLP AI Research Lead — Financial ML Innovator

Testing Site - JPMC; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase's AI Research group seeks an AI Research Lead to develop novel techniques, tools, and frameworks for large-scale problems, collaborating with data scientists, engineers, and business stakeholders to deliver high-impact solutions.

You will design experiments, build models, contribute to open-source software and patents, and push the boundaries of AI while aligning with the firm’s financial services objectives and risk controls.

Qualifications

• PhD in Computer Science, Engineering, or related fields with at least three years of industry experience.
• Programming skills in Python.
• Proficient understanding of AI/ML techniques.
• Statistical data analysis and experimental design.
• Curiosity, creativity, resourcefulness, and a collaborative spirit.
• Effective verbal and written communication skills with technical and business audiences.
• Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds.
• Interest in problems related to the financial services domain.

Responsibilities

• Work on multiple commercially-orientated research projects in collaboration with internal data scientists, applied engineering teams and business stakeholders
• Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build innovative solutions, and communicate research significance
• Contribute to high-impact business applications, open-source software, and patents
• Develop state-of-the art machine learning models to solve real-world problems at scale

Skills

Python

AI/ML fundamentals

Statistical analysis

Experiment design

Communication

Collaboration

Finance domain interest

Education

PhD in Computer Science/Engineering or related

Tools

TensorFlow/Keras

PyTorch

Job description

JPMorgan Chase's AI Research group seeks an AI Research Lead to develop novel techniques, tools, and frameworks for large-scale problems, collaborating with data scientists, engineers, and business stakeholders to deliver high-impact solutions.

You will design experiments, build models, contribute to open-source software and patents, and push the boundaries of AI while aligning with the firm’s financial services objectives and risk controls.