Goldman Sachs is seeking to drive the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm, addressing unique challenges in machine learning systems within the financial domain.
Requirements
- A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
- 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.
- Experience in AI/ML domains, including but not limited to generative AI, machine learning, deep learning, natural language processing, information retrieval, and time series analysis.
Responsibilities
- 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.
Other
- A minimum of 4 years of experience in the industry that demonstrates your expertise.
- A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
- We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond.
- We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
- Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
