Goldman Sachs is seeking a Generative AI Scientist to drive the adoption of cutting-edge Generative AI technologies at the firm, interacting directly with the business. The role aims to address unique challenges in generative AI systems within the financial domain and contribute to the development of Goldman's AI Assistant to empower the business.
Requirements
- 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.
Responsibilities
- Collaborating effectively with colleagues to advance production machine-learning systems and applications.
- Conceptualizing, experimenting with, and assessing AI-based software systems.
- Developing, testing, and maintaining high-quality, production-ready code.
- Demonstrating technical leadership by taking charge of cross-team projects.
- Developing Retrieval-Augmented Generation (RAG) techniques to enhance AI systems.
- Contributing to boost developer productivity with Generative AI.
Other
- 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.
