Goldman Sachs is seeking to drive the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm, leveraging unique datasets and content to harness the power of Generative AI and address challenges in machine learning systems within the financial domain.
Requirements
- Proficiency in contemporary programming languages like Python, C++, or Java.
- Experience with machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems.
- 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 5 years of experience in the industry that demonstrates expertise.
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 5 years of experience in the industry that demonstrates expertise.
- We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
- Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings.
- We believe who you are makes you better at what you do.
