Senior LLM Research Engineer - Artificial Intelligence
Location: New York Business Area: Engineering and CTO Ref: 10049309
Description & Requirements
Bloombergs Engineering AI department has 400 AI practitioners building highly sought-after products and features that often require novel innovations. We are investing in AI to build better search discovery and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team or teams of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
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 that help 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 • Tool use • Domain adaptation of LLMs to financial domains • Dialogue interfaces • Evaluation of LLMs model safety and responsible AI
Whats 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 conferences and in open-source communities Publish product and research findings in documentation, whitepapers, or publications to leading academic venues
Youll 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 http://www.techatbloomberg.com/ai
Salary Range: $165,000 - $260,000 USD Annually Benefits Bonus
The referenced salary range is based on the Companys 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 401k match Life insurance Various wellness programs
among others.
The Company does not provide benefits directly to contingent workers, contractors, and interns.
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