FAQs
What core technologies will I be working with in this role?
You will be working with cutting-edge AI and Machine Learning (ML) technologies, including machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems.
What educational qualifications are required for the Associate position?
A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience is required.
How much industry experience do I need to apply for this position?
A minimum of 1-3 years of AI/ML experience in the industry is required, which demonstrates expertise in the field.
Will I be collaborating with other teams in this role?
Yes, you will collaborate effectively with colleagues to advance production machine-learning systems and applications.
What programming language is emphasized for this role?
Strong hands-on experience in building and maintaining large-scale Python applications is essential for this position.
Are there opportunities for professional development at Goldman Sachs?
Yes, Goldman Sachs is committed to fostering growth through training, development opportunities, and firmwide networks.
Will I have the opportunity to represent Goldman Sachs at conferences?
Yes, part of the responsibilities includes representing Goldman Sachs at conferences and within open-source communities.
Is the company committed to diversity and inclusion?
Yes, Goldman Sachs is committed to fostering and advancing diversity and inclusion within the workplace and beyond.
What should I expect in terms of work culture?
You can expect a dynamic environment that values innovative strategic thinking and immediate, real solutions, with a focus on redefining what's possible at the intersection of quantitative research and artificial intelligence.
Is the position focused solely on AI, or are there other areas of focus as well?
While the position emphasizes AI, you will also be involved in software development for quantitative investment workflows across equities, fixed income, or multi-asset strategies.

