Associate - Computer Science

Goldman Sachs is seeking an experienced Applied Researcher to join the AI Research team. As an Applied Researcher, you will play a key role in defining, designing, developing, and evaluating language models specifically tailored for financial use cases. Your expertise in Machine Learning (ML) and Natural Language Processing (NLP) will be essential for advancing AI-driven solutions within the financial sector and exploring cutting-edge Language Modelling techniques. In this position, you will collaborate with diverse teams from various divisions on pioneering projects that utilize Large Language Models (LLMs) and other NLP methodologies to analyze and process a wide array of financial documents. As an Applied Researcher, you will tackle the unique challenges associated with applying these techniques in finance and contribute to the ongoing advancement of AI in the financial domain. **Responsibilities:** - Create and deploy scalable NLP-based solutions to support business operations. - Conduct experiments to assess and optimize the efficiency of existing models. - Implement and evaluate state-of-the-art NLP solutions, customizing them to suit financial contexts. - Develop, test, and maintain high-quality, production-ready code. - Demonstrate technical leadership through overseeing cross-team projects. - Clearly articulate ideas and discoveries in both verbal and written forms across various departments. - Represent Goldman Sachs at conferences and in open-source communities. - Collaborate closely with colleagues to enhance production machine-learning systems and applications. **Qualifications:** - Bachelor's, master's, or PhD in Computer Science, Machine Learning, Mathematics, Engineering, or equivalent industry experience. - Ideally, 3 years of AI/ML industry experience for Bachelor's/Master's, 1 year for PhD, with a focus on Language Models and NLP. - Proficiency in Python programming and solid knowledge of data structures, algorithms, and software engineering best practices. - Strong understanding of NLP techniques/algorithms, and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. - Excellent verbal and written communication skills. - Demonstrated curiosity, ownership, and ability to thrive in a collaborative environment. - Previous experience in the finance industry is a plus. Goldman Sachs Engineering Culture: At Goldman Sachs, our Engineers are not just developers; they are enablers of possibilities. We strive to make the seemingly impossible, possible by connecting people and capital with innovative ideas. Our engineering teams tackle the most complex engineering challenges, architect low latency infrastructure solutions, proactively defend against cyber threats, and leverage machine learning in conjunction with financial engineering to transform data into actionable insights. By building new businesses, revolutionizing finance, and embracing a world of opportunities at the pace of markets, we aim to create a lasting impact. Engineering sits at the heart of our business, and our fast-paced environment calls for strategic innovation and immediate, practical solutions. (The Goldman Sachs Group, Inc., 2025. All rights reserved.),