Senior Language Modeling Engineer - Artificial Intelligence Group

at  Bloomberg

Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The Bloomberg Terminal connects influential communities across the global financial ecosystem via reliable technology that enables our customers to make informed decisions and foster collaboration.
For over a decade, Bloomberg has been a trailblazer in financial applications of AI, machine learning, and natural language processing (NLP). The Artificial Intelligence group is responsible for driving adoption of these technologies at Bloomberg, with over 250 research engineers working collaboratively to provide clients with the best-in-class news, research, market data, and analytics.
The AI group contributes to Bloomberg’s flagship products such as news, research, pricing, communications platforms, search and discovery tools. We work on a variety of AI subfields, including NLP, information retrieval, time series analysis, and recommender systems. Textual data is particularly key to understanding how events in the world impact our clients. Whether it’s analyzing social media sentiment over thousands of tweets per second, automatically extracting key indicators from press releases and filings, or helping clients derive intelligence from their internal communications by identifying entities and intents, we’ve used NLP to help Bloomberg maintain its edge as the market leader in financial data and communications.
The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities in our products. BloombergGPT - our recently announced large language model - is the most performant language model for financial text, and it puts us at the forefront of building innovative NLP products for our clients.
As a Language Modeling Engineer, you will have access to BloombergGPT and other LLMs, as well as vast amounts of high-quality data that go into training and evaluating them. You will be expected to lead the way in applying these models to transform our current approaches and creating groundbreaking new products that would have been impossible with the previous generation of technologies. You will also be responsible for developing the next generation of LLMs for state-of-the-art financial NLP.

We’ll trust you to:

• Collaborate with teams across the company on the application of LLMs to core product
• Optimize the way we train, tune and serve LLMs
• Stay current with the latest research in NLP and AI regarding LLMs and incorporate new findings into our models and methodologies
• Monitor the performance of deployed LLMs and continuously develop them based on user feedback

You’ll need to have:

• A Master’s or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience.
• Relevant work experience (5+ years after Masters or 2+ years after Ph.D.)
• An understanding of Computer Science fundamentals such as data structures and algorithms.

Please refer the Job description for details