PDT is looking to accelerate the velocity of machine learning research and expand the exploration space for innovations by building a state-of-the-art environment for testing ideas rapidly and efficiently.
Requirements
- Experience with building infrastructure for training/fine-tuning large ML models.
- Experience with the python scientific stack and DL libraries (PyTorch, Tensorflow, etc.).
- Experience with hardware accelerators.
- Exceptional programming skills and proficiency in identifying performance bottlenecks.
Responsibilities
- Partner with the research team to understand future research directions and build the next generation of highly scalable infrastructure for alpha, signal, and portfolio construction.
- Incorporate advancements in machine learning, hardware accelerators and high-performance computing to optimize research workflows.
- Maintain, develop, and re-imagine the extensive internal research stack that continues to be a differentiating factor for PDT business.
- Optimize models for inference and use in real time trading systems.
Other
- Intellectual curiosity and a strong interest in solving difficult problems.
- Previous experience in Quant Finance is not required.
- Must work from our New York City office at minimum 3 days a week.
