The AI/ML engineer role at Goldman Sachs involves leveraging expertise in quantitative analytics and artificial intelligence to develop AI-driven quantitative technologies. This position is part of the Investment Banking Engineering team, focusing on enhancing revenue generation and operational efficiency through innovative solutions. The engineer will collaborate with various teams to integrate AI with quantitative finance, tackling unique challenges in the analytics domain. This role offers the opportunity to push the boundaries of finance and artificial intelligence.

• Advanced degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
• 1-3 years of AI/ML experience in the industry that demonstrates expertise.
• Proficiency in contemporary programming languages like Python and/or Java.
• Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits.
• Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.

• Design, implement, and deploy scalable AI models and agentic workflows to drive commercial outcomes.
• Lead rigorous experimentation and data-driven analysis to continuously improve AI model effectiveness for business use cases.
• Collaborate proactively with stakeholders across the equities business to accelerate the delivery of AI-driven solutions.
• Champion the development, testing, and maintenance of reliable, production-ready software solutions.

• Employees at Goldman Sachs are often offered comprehensive benefits, including medical, dental, life and disability coverage, generous vacation and holidays, and robust wellness resources such as EAP counseling, medical advocacy, on-site/virtual health services, and fitness support. Financial perks typically include retirement savings programs, live financial education, education support, and wealth-creation opportunities through equity awards and select investment programs. Many locations also provide family benefits (childcare resources, parental and family leaves, adoption/surrogacy support) and flexible work options like part-time schedules, job sharing, telecommuting, and alternate hours.