Requirements

• 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 with 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
• Understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
• Excellent communication skills and ability to collaborate with engineering peers and non-engineering stakeholders such as sustainable finance analysts, product managers, and domain experts

Nice to Haves

• Interest in sustainability or climate finance
• Track record of authoring publications in top conferences and journals

What You'll Be Doing

• 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, incorporating new findings into models and methodologies
• Represent Bloomberg at scientific and industry conferences and in open-source communities
• Publish product and research findings in documentation, whitepapers, or academic venues