Requirements

Proven practical experience in NLP, Information Retrieval, Search technologies, and Generative AI.
Knowledge of search platforms such as Apache Solr or Elasticsearch is a plus.
Significant industry experience or relevant academic background (MSc or PhD in Computer Science, ML, Mathematics, Statistics, or Engineering).
Proficiency in enterprise-grade software engineering practices, including data structures, algorithms, and a data-driven problem-solving approach.
Strong communication skills to collaborate effectively with technical peers and business stakeholders.

What You'll Be Doing

Developing and deploying Retrieval-Augmented Generation (RAG) systems with high-quality data curation and evaluation frameworks.
Designing and building tools for LLM-powered search agents to handle complex client queries and scaling these solutions for thousands of users.
Prototyping, building, and maintaining ML and Generative AI-powered client-facing search and streaming applications delivering relevant financial insights.
Creating robust APIs for search across diverse data collections ensuring relevant results and system reliability.
Collaborating closely with cross-functional teams to integrate AI solutions into client products and improve user experience.
Architecting, developing, and deploying production-quality search systems powered by LLMs with an emphasis on innovation and solid engineering practices.
Identifying areas for improvement, experimenting with new ideas, and implementing solutions rapidly.
Designing, training, testing, and iterating on models and algorithms, owning the entire lifecycle from inception to deployment.
Staying current with research in IR, NLP, and Generative AI, applying innovations to impactful solutions.
Representing Bloomberg at industry events, scientific conferences, and open-source communities.