Senior LLM Research Engineer - Artificial Intelligence

Jobzhr; New York (NY); On-site; USD 165,000 - 260,000; Full time

Job summary

Bloomberg is seeking Senior LLM Research Engineers to advance large language modeling across our financial analytics platform. You will drive methods for training, fine-tuning, and deploying LLMs leveraging Bloomberg APIs and vast data sources.

Applicants should have a PhD in ML/NLP or MSc with 2+ years' experience, plus strong PyTorch, Huggingface, and Deepspeed skills and a solid software engineering background. You will lead cross-team initiatives and publish results.

Qualifications

• PhD in ML, NLP or MSc with 2+ years of relevant work experience.
• Experience with Large Language Model training and fine-tuning frameworks.
• Proficiency in software engineering and data-structuring fundamentals.

Responsibilities

• Collaborate on building and applying LLMs for production systems and applications.
• Write, test, and maintain production quality code.
• Train, tune, evaluate and improve LLMs using large data sources.
• Lead cross-team projects and communicate findings to stakeholders.
• Stay current with AI/NLP research and publish results.

Skills

Natural Language Processing

Machine Learning

Deep Learning

Statistical Modeling

Software engineering

Education

PhD in ML/NLP or MSc in CS/ML/Math/Statistics/Engineering with 2+ years experience

Tools

PyTorch

Huggingface

Deepspeed

Job description

Location

New York

Business Area

Engineering and CTO

Ref #

10049309

Description & Requirements

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, helps 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 and tool use, domain adaptation of LLMs to financial domains, dialogue interfaces, evaluation of LLMs, model safety and responsible AI.

What\'s 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 conference and in open-source communities


• Publish product and research findings in documentation, whitepapers or publications to leading academic venues

You\'ll 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:

Salary Range = 165,000 - 260,000 USD Annual + 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.

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