AI Researcher - Senior Associate

JPMorgan Chase & Co.; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

JPMorgan Chase seeks an AI Research Scientist to enhance its analytics capabilities. The role involves conducting comprehensive research, developing AI models, and collaborating on high-impact projects in the finance sector. Qualified candidates will have a strong background in computer science or related disciplines, along with programming skills and a spirit of creativity and collaboration. This position provides opportunities for scholarly contributions and participation in leading conferences.

Qualifications

• Master's degree and/or PhD in relevant fields.
• Programming experience with AI/ML frameworks is crucial.
• Interest in the financial services domain is a plus.

Responsabilités

• Conduct end-to-end research and collaborate on multiple projects.
• Develop algorithms and models, conduct experiments.
• Contribute to publications and engage with the AI research community.

Connaissances

Programming experience in Python or Java or C++

Curiosity

Creativity

Resourcefulness

Collaborative spirit

Effective verbal and written communication

Formation

Master's degree in Computer Science, Mathematics, Statistics, Engineering, or related fields

PhD in Computer Science (especially AI / ML) or related fields

Outils

TensorFlow / Keras

PyTorch

JAX

Description du poste

The Chief Data & Analytics Office (CDAO) in JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutionsthat support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As an AI Research Scientist on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your role involves formulating problems, generating hypotheses, developing algorithms and models, conducting experiments, and communicating research significance. Your output will result in publications in AI / ML conferences and journals, high-impact business applications, open-source software, and patents.

Job responsibilities

• Work on multiple research projects in collaboration with internal and external researchers and applied engineering teams.
• Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build prototypes, and communicate research significance.
• Contribute to publications in AI / ML conferences and journals, high-impact business applications, open-source software, and patents.
• Participate in relevant top-tier academic conferences, organize workshops, and engage with the AI research community to broaden the impact of your contributions.

Required Qualifications, Capabilities, and Skills :

• Master's degree in Computer Science, Mathematics, Statistics, Engineering, or related fields.
• Programming experience in Python or Java or C++ and practical experience with ML platforms such as TensorFlow / Keras, PyTorch or JAX.
• Proficient understanding of fundamental AI and ML techniques (., A
• regularization).
• Curiosity, creativity, resourcefulness, and a collaborative spirit.
• Effective verbal and written communication skills.
• Interest in problems related to the financial services domain (past experience in the domain is not required).

Preferred Qualifications, Capabilities, and Skills :

• PhD in Computer Science (especially AI / ML) or related fields.
• Research publications in prominent AI / ML venues (., conferences, journals).
• Strong expertise in specialized areas of AI such as deep learning (DL), Reinforcement Learning (RL) or natural language processing (NLP).
• Proficiency with rapid prototyping and disciplined software development processes.
• Practical software engineering experience in collaborative project settings.