Artificial Intelligence Researcher

AI Scientist

Location: West Palm Beach, FL

The Opportunity

A leading global systematic investment firm is seeking an exceptional AI Scientist to join its Artificial Intelligence team. The successful candidate will conduct cutting-edge machine-learning research and develop innovative models, predictive signals, and AI-driven tools used throughout the investment process.

This position is suited to a highly creative researcher who combines strong academic foundations with practical problem-solving skills and an interest in applying advanced AI techniques to financial markets.

Key Responsibilities

• Conduct machine-learning research to improve multiple stages of the systematic investment process.
• Develop predictive and trading signals using innovative machine-learning techniques.
• Apply large language models and agentic AI technologies to research, develop, and test new trading signals and investment algorithms.
• Design and implement state-of-the-art deep-learning architectures.
• Develop machine-learning methods for signal compression, combination, and portfolio integration.
• Build scalable modeling frameworks and research tools for investment professionals.
• Run experiments, conduct statistical inference, and evaluate model robustness and performance.
• Collaborate closely with portfolio managers, quantitative researchers, and engineers to improve investment models and algorithms.
• Translate complex research findings into clear and practical recommendations.

Candidate Profile

• PhD in Computer Science, Mathematics, Statistics, Machine Learning, or another highly quantitative discipline.
• At least two years of professional or academic research experience applying machine learning to complex problems.
• Outstanding academic record and evidence of strong intellectual ability.
• Demonstrated creativity through original research, publications, inventions, or the development of novel methodologies.
• Advanced knowledge of machine learning, deep learning, statistical inference, mathematical optimization, or numerical solvers.
• Strong programming skills in Python and C++, with practical experience using PyTorch.
• Experience designing experiments, validating models, and interpreting statistical results.
• Familiarity with professional software-development practices, including Git, continuous integration, automated testing, and code review.
• Excellent analytical judgment, attention to detail, and problem-solving ability.
• Strong communication skills, with the ability to explain sophisticated technical concepts clearly.
• Prior financial-market experience is advantageous but not essential.

If you are interested in this opportunity, please email [email protected] with a copy of your CV.