Senior Language Modeling Research Engineer - Artificial Intelligence

Bloomberg

New York, NY

Full Time

Senior

165k-260k

3 days ago

Job Description

About the Role

Bloomberg's Engineering AI department has 350+ 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. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. 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.

Key Responsibilities

Collaborate with colleagues on building and applying Large Language Models (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 publications to leading 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 with 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.
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.

Nice to Have

Experience with multimodal models, learning from feedback and human preferences, retrieval-augmented generation, summarization, semantic parsing, and tool use.
Experience with domain adaptation of LLMs to financial domains.
Experience with dialogue interfaces, evaluation of LLMs, model safety, and responsible AI.

Qualifications

Ph.D. in ML, NLP, or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields with 2+ years of relevant experience.

Benefits & Perks

Salary range of $165,000 - $260,000 USD annually plus benefits and bonus.
Comprehensive and generous benefits plan including merit increases, incentive compensation, paid holidays, paid time off, medical, dental, vision, short and long-term disability benefits, 401(k) with match, life insurance, and wellness programs.

Working at Bloomberg

Bloomberg fosters a transparent and efficient financial marketplace, emphasizing innovation, collaboration, and continuous learning. The company values staying current with research and contributing to the broader technology community.

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