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 turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Who We Look For:
Goldman Sachs has a unique set of data, including proprietary content, analytics, and research; leveraging these will enable the firm to harness the power of Generative AI.
We are seeking an Applied AI Engineer to join Marquee in Global Banking & Markets. You will drive the adoption of Generative AI technologies, working directly with our business teams.
You will contribute to AI/ML domains such as machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems, addressing challenges specific to financial applications. Join us in redefining the intersection of quantitative research and artificial intelligence!
Your responsibilities will include:
Collaborating with colleagues to develop and deploy production machine learning systems.
Designing, experimenting with, and evaluating AI/ML-based software systems.
Developing, testing, and maintaining high-quality, production-ready code.
Providing technical leadership on cross-team projects.
Creating libraries and frameworks to support reliable and testable systems; representing Goldman Sachs at conferences and in open-source communities.
Required Qualifications:
Degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or related fields.
At least 2 years of industry experience demonstrating expertise.
Experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
Proficiency in programming languages such as Python, C++, or Java.
Salary Range
The expected base salary for this New York-based position is $150,000 - $225,000, with potential discretionary bonuses.
Benefits
Goldman Sachs offers competitive benefits and wellness programs, details of which can be found here.
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