Senior ML Research Engineer - Artificial Intelligence

Role Overview

As a Senior ML Research Engineer, you will work on exciting initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and financial impact of controversies. You will collaborate with colleagues on production systems, design, train, experiment, and evaluate ML models, algorithms and solutions, and demonstrate technical leadership by owning cross-team projects.

What You Will Do

Design, train, experiment, and evaluate ML models, algorithms and solutions, write, test, and maintain production quality code, and represent Bloomberg at scientific and industry conferences and in open-source communities.

Why It Might Be a Fit

We are looking for a Senior ML Research Engineer with practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques, and a 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.

Requirements

• Practical experience with Machine Learning problems
• 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
• 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

Benefits

• Competitive salary
• Opportunity to work on exciting AI projects
• Collaborative work environment
• Opportunity to represent Bloomberg at scientific and industry conferences and in open-source communities
• Opportunity to publish product and research findings in documentation, whitepapers or publications to leading academic venues