Applied AI Researcher – Vice President NY

Applied AI Researcher – Vice President (New York, NY)

Join to apply for the Applied AI Researcher – Vice President (New York, NY) role at Goldman Sachs

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low‑latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continually turn data into action.

Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

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 contribute to various AI/ML domains, including generative AI, machine learning, deep learning, natural language processing, information retrieval, and time series analysis.

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 what’s possible in the intersection of quantitative research and artificial intelligence!

• 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.
• Representing Goldman Sachs at conferences and within open‑source communities.

• 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 4 years of industry experience that demonstrates your expertise.
• 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.

Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non‑temporary, full‑time and part‑time US employees who work at least 20 hours per week, can be found here.

The expected base salary for this New York, New York, United States‑based position is $130,000–$250,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year‑end.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Goldman Sachs is an equal employment/affirmative action employer.
Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: