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Senior Language Modeling Research Engineer

2 months ago

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

Bloomberg is a leading global provider of financial data and analytics, with a strong commitment to innovation and technology. Our Engineering AI department is at the forefront of developing cutting-edge AI solutions to drive business growth and improve customer experiences.

Job Summary

We are seeking a highly skilled Senior Language Modeling Research Engineer to join our team. As a key member of our research group, you will be responsible for contributing to the development of Large Language Models (LLMs) and their applications in natural language processing (NLP) and AI.

Key Responsibilities
  • Collaborate with colleagues to design, develop, and deploy LLMs for production systems and applications
  • 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 and staying current with the latest research in AI, NLP, and LLMs
  • 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
  • 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
  • Practical experience with NLP problems, and a familiarity with Machine Learning, Deep Learning, and Statistical Modeling techniques
  • Experience with Large Language Model training and fine-tuning frameworks such as PyTorch, Huggingface, or Deepspeed
  • Proficiency in software engineering and an understanding of Computer Science fundamentals such as data structures and algorithms
  • Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders
What We Offer

Bloomberg offers a competitive salary and benefits package, as well as opportunities for professional growth and development. We are committed to fostering a diverse and inclusive work environment and encourage applications from qualified candidates from underrepresented groups.