Senior LLM Research Engineer - Artificial Intelligence

Location New York Business Area Engineering and CTO Ref # 10049309 Description & Requirements At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior LLM Research Engineers with a strong expertise and passion for Large Language Modeling research and applications to join our team. The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities with new products. This would allow our clients to ask complex questions in natural language and receive insights extracted across our vast number of Bloomberg APIs or from potentially millions of structured and unstructured information sources. Broad areas of applications and interest include: application and fine-tuning methods for LLMs, efficient methods for training, multimodal models, learning from feedback and human preferences, retrieval-augmented generation, summarization, semantic parsing and tool use, domain adaptation of LLMs to financial domains, dialogue interfaces, evaluation of LLMs, model safety and responsible AI. What\'s In It For You Collaborate with colleagues on building and applying LLMs for production systems and applications Write, test, and maintain production quality code Train, tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in AI, NLP and LLMs and incorporate new findings into our models and methodologies Represent Bloomberg at scientific and industry conference and in open-source communities Publish product and research findings in documentation, whitepapers or publications to leading academic venues You\'ll Need To Have Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience Experience with Large Language Model training and fine-tuning frameworks such as PyTorch, Huggingface or Deepspeed Proficiency in software engineering An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders. A track record of authoring publications in top conferences and journals is a strong plus We give back to the technology community and you can read more about our outreach at: Salary Range = 165,000 - 260,000 USD Annual + Benefits + Bonus The referenced salary range is based on the Company\'s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. #J-18808-Ljbffr Jobzhr