Join Our Innovative Engineering Team as an Applied AI Engineer at Goldman Sachs

What We Do:
At Goldman Sachs, our Engineers are not just involved in making things – they make things possible. Our team changes the world by connecting people and capital with ideas, solving engineering challenges that impact our clients globally. We build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning with financial engineering to continuously transform data into action. We invite you to create new businesses, transform finance, and explore countless opportunities at the speed of markets in our dynamic engineering environment.

Opportunity for an Applied AI Engineer in London

Who We Look For:
Goldman Sachs seeks a talented Applied Artificial Intelligence Engineer (Applied AI Engineer) to join our forward-thinking Applied AI team. Utilize your advanced knowledge in computer science, statistics, artificial intelligence, and machine learning to develop and deploy AI-based technologies for quantitative solutions that enhance revenue generation and innovation. This role offers the unique opportunity to merge artificial intelligence with quantitative finance in areas such as time series forecasting, market making, and pricing. Be at the forefront of redefining the potential at the intersection of quantitative finance and artificial intelligence!

Key Responsibilities:

• Design and deploy scalable AI models that drive commercial outcomes.
• Conduct experiments to enhance the performance of models.
• Effectively communicate concepts and ideas to technical and non-technical stakeholders.
• Collaborate across teams to advance the production of machine-learning systems and applications.
• Develop, test, and maintain high-quality, production-ready code.
• Demonstrate technical leadership in cross-team projects.

Required Qualifications:

• A Master's or Ph.D. degree in Computer Science, Machine Learning, Statistics, Engineering, Quantitative Finance, or equivalent with relevant industry experience.
• At least 3 years of professional experience in AI/ML demonstrating deep expertise.
• Proficiency in Python and a solid understanding of data structures, algorithms, and software engineering principles.
• Strong grasp of machine learning techniques and algorithms, and familiarity with common data science toolkits.
• Exceptional verbal and written communication abilities.
• A strong sense of curiosity and commitment, with a willingness to work within a collaborative environment.

About Goldman Sachs:
Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm. Our commitment extends beyond facilitating growth for our clients and shareholders; it includes fostering and advancing inclusivity within our workforce and the larger community. At Goldman Sachs, you'll have access to a variety of growth opportunities both professionally and personally, supported by our comprehensive benefits, wellness, and personal finance programs. Learn more about who we are and what we offer at .

Goldman Sachs is committed to inclusivity and is an equal employment/affirmative action employer. We welcome applications from individuals from all backgrounds and are especially eager to accommodate those with special needs or disabilities during our recruiting process. More details are available .

Apply now to redefine the future of finance and technology!

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