Senior Natural Language Processing Specialist

2 weeks ago


New York, New York, United States Bloomberg Full time
About Us

We are Bloomberg, a leading global provider of financial data and analytics. Our Engineering AI department is dedicated to developing innovative AI-powered solutions that help our clients make informed decisions. As a Senior LLM Research Engineer, you will be part of a team of over 350 AI practitioners working on cutting-edge projects.


Job Responsibilities

The ideal candidate will have a strong background in Large Language Modeling research and applications, as well as practical experience with Natural Language Processing problems and familiarity with Machine Learning, Deep Learning, and Statistical Modeling techniques. You will be responsible for collaborating with colleagues to build and apply LLMs for production systems and applications, as well as training, tuning, evaluating, and continuously improving LLMs using large amounts of high-quality data.


Requirements and 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 work experience
  • Experience with Large Language Model training and fine-tuning frameworks such as PyTorch, Huggingface, or Deepspeed
  • Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders

Salary and Benefits

We offer a competitive salary range of $165,000 - $260,000 per year, depending on your level of experience and qualifications. Additionally, we provide a comprehensive benefits package, including medical, dental, and vision insurance, as well as a generous 401(k) matching program.


Why Join Us?

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our team is passionate about developing innovative AI-powered solutions that help our clients make informed decisions. As a Senior LLM Research Engineer, you will have the opportunity to work on cutting-edge projects and contribute to the development of state-of-the-art financial NLP models.



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