What We Do At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.   Who We Look For Goldman Sachs is seeking an Applied AI Researcher to join our dynamic Applied Artificial Intelligence (AI) Research team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm.  In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems. As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems within the financial domain. Join us in redefining the boundaries of whats possible in the intersection of quantitative research and artificial intelligence!   Your responsibilities will include <ul> <li>Collaborating effectively with colleagues to advance production machine-learning systems and applications.</li> <li>Conceptualizing, experimenting with, and assessing AI/ML-based software systems.</li> <li>Developing, testing, and maintaining high-quality, production-ready code.</li> <li>Demonstrating technical leadership by taking charge of cross-team projects.</li> <li>Creating libraries and frameworks that underpin reliable and testable systems.</li> <li>Represent Goldman Sachs at conferences and within open-source communities.</li> </ul>   Qualifications we seek <ul> <li>A Masters or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.</li> <li>A minimum of 5 years of experience in the industry that demonstrates your expertise.</li> <li>Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.</li> <li>Proficiency in contemporary programming languages like Python, C++, or Java.</li> </ul>   Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.  We believe who you are makes you better at what you do. Were committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.    We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html     © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity    Global Banking &amp; Markets - Cloud Engineering - Vice President - Bengaluru