AI Researcher - Senior Associate

J.P. Morgan; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

A leading financial services firm is looking for an AI Research Scientist to join their Chief Data & Analytics Office. The role entails researching AI methods, developing innovative algorithms, and collaborating with teams to foster insights that will drive decision-making. Candidates should hold a Master's or PhD in Computer Science with proficiency in ML techniques and programming skills. Opportunity to impact high-level business applications and contribute to AI advancements.

Qualifications

• Master's or PhD in related fields.
• Strong programming skills in Python, Java, or C++.
• Experience with AI/ML methodologies and software engineering.

Responsabilités

• Conduct end-to-end AI research and collaborate on projects.
• Develop algorithms and models, conduct experiments.
• Publish research in AI/ML conferences and journals.

Connaissances

Programming in Python

Programming in Java

Programming in C++

Machine Learning

Problem Solving

Communication Skills

Formation

Master's degree in Computer Science

PhD in Computer Science (preferred)

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 (e.g., 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 (e.g., 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.