Collaborating effectively with colleagues to advance production machine-learning systems and applications.
Conceptualizing, experimenting with, and assessing AI/ML-based software systems.
Developing, testing, and maintaining high-quality, production-ready code.
Demonstrating technical leadership by taking charge of cross-team projects.
Creating libraries and frameworks that underpin reliable and testable systems.
Represent Goldman Sachs at conferences and within open-source communities.
Requirements & Skills:
A Master’s or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
A minimum of 3 years of experience in the industry that demonstrates your expertise.
Extensive experience in software development for quantitative investment workflows in equities, fixed-income, or multi-asset strategies.
Proficiency in contemporary programming languages like Python, C++, or Java.
