Description & Requirements
Bloomberg’s Engineering AI department has 400+ 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.
Location
London
Business Area
Engineering and CTO
Ref #
10049298
Additional Details
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.
As an ML Research Engineer, you will be working on exciting initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and financial impact of controversies.
Responsibilities
* Collaborate with colleagues on production systems and write, test, and maintain production quality code
* Design, train, experiment, and evaluate ML models, algorithms and solutions
* Demonstrate technical leadership by owning cross‑team projects
* Stay current with the latest research in AI 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
Qualifications
* Practical experience with machine learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques
* 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
* 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
* A track record of authoring publications in top conferences and journals is a strong plus
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If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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