Machine Learning Researcher

• PhD in a quantitative or highly analytical field (Computer Science, Physics, Mathematics, Statistics, or related) \n

• 2+ years of research or work experience applying Machine Learning in innovative ways to complex problems \n

• Track record of graduating at the top of your program, with excellent problem-solving abilities, insight, and judgment \n

• Strong development skills and proficiency in C++, Python, and PyTorch \n

• Demonstrated science aptitude via a record of creativity and invention, with the ability to run experiments and perform statistical inference \n

• Experience with software development tools and practices (version control/Git, continuous integration, testing frameworks) \n

• Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization \n

• Strong communication skills; ability to express complex concepts in simple terms \n

We are seeking an exceptionally talented AI Scientist to join our client’s Artificial Intelligence team. The successful candidate will:

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• Conduct research in Machine Learning to improve multiple aspects of the investment pipeline \n

• Produce trading and predictive signals using innovative ML algorithms \n

• Apply the latest LLM-based agentic technology to develop and test trading signals and algorithms \n

• Implement signal compression and combination techniques using ML tools \n

• Implement state-of-the-art machine learning algorithms and design deep learning architectures \n

• Develop model frameworks for investment professionals \n

• Collaborate with portfolio managers and researchers to optimize machine learning algorithms \n

• Communicate effectively with team members, researchers, and portfolio managers \n

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