PhD Hiring - Hyderabad/Bengaluru - 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 pivotal in advancing AI-driven solutions within the financial domain, as well as in exploring state-of-the-art Language Modelling techniques. In this position, you will collaborate with diverse teams from various divisions on innovative projects that harness Large Language Models (LLMs) and other NLP techniques to analyze and process a wide range of financial documents. Your responsibilities will involve addressing the unique challenges associated with applying these technologies in the financial sector and contributing to the ongoing enhancement of AI applications in finance. Key Responsibilities: - Develop and implement scalable NLP-based solutions to support business operations - Conduct experiments to assess and improve the efficiency of existing models - Implement and evaluate cutting-edge NLP solutions within a financial context - Create, test, and maintain high-quality, production-ready code - Lead cross-team projects to demonstrate technical expertise - Articulate ideas and research findings clearly across departments - Represent Goldman Sachs at conferences and engage with open-source communities - Collaborate with colleagues to advance machine-learning systems and applications Qualifications: - Bachelor's, master's, or PhD degree 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 strong knowledge of data structures, algorithms, and software engineering best practices - Thorough 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 - Prior experience in the finance industry is advantageous Goldman Sachs Engineering Culture: At Goldman Sachs, our Engineers are not just makers but enablers of possibilities. We strive to connect people and capital with innovative ideas, solve complex engineering challenges, architect low latency infrastructure solutions, and utilize machine learning in financial engineering to transform data into actionable insights. Join our dynamic engineering teams to drive innovation, create new opportunities in finance, and tackle real-world problems at the pace of global markets. Engineering lies at the heart of our business, and we value innovative strategic thinking and the ability to deliver immediate solutions in our fast-paced environment.,