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Bloomberg’s Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

The AI Department is expanding rapidly. We are seeking a skilled Search Engineer to join our team. The ideal candidate will have a strong background in software development, coupled with a passion for Search. You will work with us on building technologies and tools to make search on our platforms more accurate and more relevant, thus helping our clients to find the information and functionalities they need.

Join the us as a Senior Search Engineer and you will have the opportunity to:

• Handle millions of queries daily, making sure our backend is stable and clients receive the answers within stringent SLAs

• Architect backend APIs and produce reusable, efficient, maintainable code that works on different platforms, and scales to millions of requests

• Develop the next generation of federated search systems, learning to serve content that is relevant to our clients, sourcing results from multiple collections (Securities, Bonds, People, News, etc)

• Improve the way we understand user needs by working on our query understanding framework based on semantic parsing, named entity recognition, and entity linking

• Design and implement metrics that measure various aspects of our search experience and how they are improving over time

• Enhance client experience using state of the art in NLP and Information Retrieval along with our rich content sets to answer questions. (e.g., What is the price of facebook? What was the inflation in the UK last week?)

We'll trust you to:

• Collaborate with colleagues on production search systems, and write, test, and maintain production quality code

• Improve the performance and maintainability of our codebase

• Continuously improve our data pipelines, data management, and data hygiene best practices

• Optimize indexing time and query latency of our search systems

• Train and Evaluate search models and architectures

• Represent Bloomberg at conferences and open-source communities

• Demonstrate technical leadership by owning cross-team projects

You’ll need to have:

• 4+ Years of Experience working with an object-oriented programming language (C/C++, Python, Java, etc.)

• A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience

• An understanding of Computer Science fundamentals such as data structures and algorithms

• An honest approach to problem-solving, and ability to collaborate with peers, stakeholders, and management

We'd love to see:

• Hands-on experience with search engine technologies (e.g., Apache Solr, ElasticSearch, Vespa, FAST, or Lucene) or a demonstrated interest in learning

• Experience interacting with non-technical stakeholders

• Experience with A/B testing

• Previous experience working on search backends or improving search user experience (e.g., through relevance, recommendations, or question answering)

Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. In the meantime, check us out at http://www.techatbloomberg.com/ai

Salary: 160000,240000,USD,Annual