About this opportunity
AI Scientist | West Palm Beach, FL
About Our Client
Our client develops and deploys systematic financial strategies across a broad range of asset classes and global markets, producing high-quality predictive signals (alphas) through a proprietary research platform focused on market inefficiencies. Their culture pairs academic sensibility with accountability for results - employees are encouraged to think openly, challenge conventional thinking, and pursue continuous improvement. Great ideas can come from anyone, anywhere.
They're looking to hire the best and the brightest - people with outstanding intellectual horsepower who can help build the roadmap to future success, not just follow one.
The Role
We are seeking an exceptionally talented AI Scientist to join our client's Artificial Intelligence team. The successful candidate will:
- Conduct research in Machine Learning to improve multiple aspects of the investment pipeline
- Produce trading and predictive signals using innovative ML algorithms
- Apply the latest LLM-based agentic technology to develop and test trading signals and algorithms
- Implement signal compression and combination techniques using ML tools
- Implement state-of-the-art machine learning algorithms and design deep learning architectures
- Develop model frameworks for investment professionals
- Collaborate with portfolio managers and researchers to optimize machine learning algorithms
- Communicate effectively with team members, researchers, and portfolio managers
What You'll Bring
- PhD in a quantitative or highly analytical field (Computer Science, Physics, Mathematics, Statistics, or related)
- 2+ years of research or work experience applying Machine Learning in innovative ways to complex problems
- Track record of graduating at the top of your program, with excellent problem-solving abilities, insight, and judgment
- Strong development skills and proficiency in C++, Python, and PyTorch
- Demonstrated science aptitude via a record of creativity and invention, with the ability to run experiments and perform statistical inference
- Experience with software development tools and practices (version control/Git, continuous integration, testing frameworks)
- Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization
- Strong communication skills; ability to express complex concepts in simple terms
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