Responsibilities
- Collaborate with engineers, researchers, and stakeholders to advance production machine learning systems.
- Design, experiment with, and evaluate AI/ML‑driven software solutions.
- Develop, test, and maintain high‑quality, production‑ready code.
- Provide technical leadership across cross‑team initiatives and complex projects.
- Build libraries and frameworks that enable reliable, scalable, and testable systems.
- Represent the organization at conferences and contribute to open‑source communities.
Requirements
- Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent industry experience.
- 4+ years of industry experience demonstrating strong technical depth.
- Proven experience building software for quantitative investment workflows, including equities, fixed income, or multi‑asset strategies.
- Strong programming skills in Python, C++, or Java.
- Ability to work end‑to‑end on complex systems, from concept to production.
