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.

If this sounds like you:
Apply if you think we're a good match! We'll get in touch with you to let you kno w what the next steps are. In the meantime, check us out at

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Salary Range: 165,000 - 260,000 USD Annually 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.