Senior LLM Research Engineer - Artificial Intelligence

Details

Bloomberg’s Engineering AI department builds production AI systems for search, discovery, and workflow solutions across financial markets. The team works with technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. This role is for Senior LLM Research Engineers with strong expertise and passion for large language modeling research and applications to expand NLP capabilities and build AI-driven customer-facing products.

Responsibilities

• Collaborate with colleagues to build and apply 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 models and methodologies.
• Represent Bloomberg at scientific and industry conferences and in open-source communities.
• Publish product and research findings in documentation, whitepapers or academic venues.

Requirements

• Practical experience with Natural Language Processing problems and 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 plus 2+ years of relevant work experience.
• Experience with Large Language Model training and fine-tuning frameworks such as PyTorch, Hugging Face or DeepSpeed.
• Proficiency in software engineering.
• Understanding of computer science fundamentals such as data structures and algorithms and a data-oriented approach to problem solving.
• Excellent communication skills and ability to collaborate with engineering peers and non-engineering stakeholders.
• A track record of authoring publications in top conferences and journals is a strong plus.

Areas of interest and application 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.

Benefits

• Salary Range: 165000 - 260000 USD annually + Benefits + Bonus
• Comprehensive benefits 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) with match, life insurance, and various wellness programs. (The Company does not provide benefits directly to contingent workers/contractors and interns.)

For more about Bloomberg AI outreach: http://www.techatbloomberg.com/ai