Applied Research – Artificial Intelligence – London – Associate

Overview

Applied AI Researcher at Goldman Sachs drives the adoption of cutting-edge AI/ML across the firm. You will collaborate to advance production ML systems, experiment with AI/ML-based software, and contribute to libraries and frameworks. You will develop and maintain production-ready Python applications and lead cross-team projects, representing GS in conferences and open-source communities. This role sits at the intersection of quantitative research and artificial intelligence, tackling ML challenges in finance to turn data into action.

Pay / Benefits

• benefits and wellness programs
• mindfulness programs
• personal finance offerings

Responsibilities

• Collaborate with colleagues to advance production ML systems and applications
• Conceptualize, experiment with, and assess AI/ML-based software systems
• Develop, test, and maintain production-ready code
• Demonstrate technical leadership by leading cross-team projects
• Create libraries and frameworks that underpin reliable and testable systems
• Represent Goldman Sachs at conferences and within open-source communities

Key requirements

• Strong hands-on experience building and maintaining large-scale Python applications
• Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent
• 1–3 years of AI/ML industry experience
• Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies

• Collaborative mindset
• Technical leadership
• Strong communication
• Python programming
• Machine Learning / Deep Learning
• NLP / Information retrieval / Time series / Recommender systems

…