Overview
In this role, you will advance Bloomberg’s AI Experiences by building scalable, production-grade search and retrieval systems powered by NLP, IR, and Generative AI. You will collaborate with cross-functional teams to bring AI innovations into client-facing products and continuously improve search quality and latency. You’ll own the lifecycle from idea to deployment, shaping a robust AI ecosystem for thousands of users. This is a chance to influence how financial data is discovered and acted upon with cutting-edge AI.
Responsibilities
- Develop and deploy Retrieval-Augmented Generation (RAG) systems and data pipelines
- Curate high-quality training/evaluation data and build evaluation frameworks
- Create tools for LLM-powered search agents to handle complex queries
- Prototype and maintain high-performing, client-facing search and streaming apps
- Build robust APIs enabling cross-collection search with reliability and stability
- Collaborate with product managers and engineers to integrate AI into client products
- Design, train, and iterate on models across the ML lifecycle
- Stay updated with IR, NLP, and Generative AI research and translate into practical solutions
- Represent Bloomberg at industry events and open-source communities
Key requirements
- Proven practical experience in NLP, Information Retrieval, Search tech, and Generative AI
- Experience with search platforms like Apache Solr or Elasticsearch (plus)
- MSc or PhD in Computer Science, ML, Mathematics, Statistics, or Engineering
- Enterprise-grade software engineering fundamentals: data structures, algorithms, problem-solving
- Strong communication skills for collaboration with technical and business stakeholders
- collaboration
- proactiveness
- clear communication
- NLP
- Information Retrieval
- Search technologies
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