Applied Research - Artificial Intelligence - London - VP
Posted 17 days ago
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Goldman Sachs is hiring an Applied AI Researcher on the Applied Artificial Intelligence Research team in London to drive adoption of advanced AI/ML technologies across the firm. The role focuses on production machine-learning systems spanning generative AI, deep learning, NLP, information retrieval, and time series analysis, with emphasis on quantitative finance use cases. Responsibilities include developing production-ready Python code, building libraries and frameworks, leading cross-team projects, and representing the firm in conferences and open-source communities. Candidates should have a Master’s or PhD (or equivalent experience) and a minimum of five years of industry experience, including software development for quantitative investment workflows.
- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Full Job Description
What We Do
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 continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.
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 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!
Your responsibilities will include:
- 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.
Qualifications we seek:
- Strong hands-on experience building and maintaining large-scale Python applications.
- 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 5 years of experience in the industry that demonstrates your expertise.
- Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
