Generative AI Scientist, Associate

at  Goldman Sachs

WHAT WE DO:

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

WHO WE LOOK FOR:

Goldman Sachs has a unique and differentiated set of data, including proprietary content, analytics, and research; leveraging these unique datasets and content will enable the firm to double down on its existing strengths and harness the power of Generative AI.
Goldman Sachs is seeking Generative AI Scientist to join our dynamic GenAI Solutions team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge Generative AI technologies at the firm interacting directly with our business.
In this role, you will have the opportunity to contribute to various Generative AI domains, including boosting developer productivity with Retrieval-Augmented Generation (RAG) pipelines and knowledge graphs for information retrieval.
As an AI Scientist, you will help address the unique challenges that arise in generative AI systems within the financial domain and contribute to the development of Goldman’s AI Assistant to empower our business.

REQUIRED QUALIFICATIONS:

• 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.

• 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.