Senior ML Research Engineer Sustainable Finance
Job Summary
- Collaborate with sustainable finance domain experts to develop systems that identify categorize and assess sustainability risks
- Own cross-team projects end-to-end from research and experimentation through production deployment
- Research and train ML models that help investors assess and manage sustainability risks
- Design and build real-time NLP pipelines using large language models
- Develop evaluation frameworks and annotation tooling that drives continuous model improvement
- Stay current with the latest research in NLP LLMs and estimation techniques and incorporate new findings into our 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
- Experience building production ML systems with exposure to sustainability and responsible investment problems
- Practical experience with Machine Learning problems and Large Language Models
- Ph.D. in ML NLP or a relevant field or MSc in CS ML Math Statistics Engineering or related fields and previous relevant work experience
- Proficiency in software engineering with Python including experience with production ML infrastructure (model serving data pipelines evaluation frameworks)
- Familiarity with LLM-based systems for structured information extraction from unstructured text
- 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 such as sustainable finance analysts product managers and domain experts
- Interest in sustainability or climate finance is a strong plus
- A track record of authoring publications in top conferences and journals is a strong plus
Required Experience:
Senior IC
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more