Machine Learning
About the AI Lab
The AI Lab is a research-focused team that applies frontier machine learning techniques to trading. The AI Lab develops and runs its own ML-driven trading strategies, owning the full lifecycle from research and experimentation through production and validation. Our developers work across disciplines - developing trading strategies and sophisticated machine learning systems, building infrastructure for reliable and efficient execution, and validating strategy correctness.
What You’ll Do
Members of AI Lab interact with a variety of domains on a daily basis. One day you may have an idea for a new trading strategy while the next you might be cutting trading latencies. A successful member of the team isn’t expected to be an expert in all areas initially but should have the willingness to jump in and grow in varied directions. Those areas might include, but are no means limited to:
- Designing, building, and deploying large-scale software systems that support the stable and efficient execution of ML-driven trading strategies.
- Developing and optimizing inference pipelines and computationally intensive workloads, with a focus on latency, throughput, and reliability.
- Working across Python, C++, and GPU-based computing environments to integrate research models into production infrastructure.
- Investigating and resolving complex issues across research and production, including discrepancies in model outputs, data processing, system performance, and execution.
- Building tools and infrastructure that enable yourself and others to test, deploy, monitor, and iter