Bloomberg’s Engineering AI department is looking to solve the problem of building better search, discovery, and workflow solutions using AI technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases to make news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Requirements
- Practical experience with Natural Language Processing 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
- An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
- 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
- A track record of authoring publications in top conferences and journals is a strong plus
Responsibilities
- 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
Other
- 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
- Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders
- Travel requirements not specified
- Visa requirements not specified
- Degree requirements: Ph.D. or MSc in relevant field
