What you'll be doing

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 models and methodologies
Represent Bloomberg at scientific and industry conferences and in open-source communities
Publish product and research findings in documentation, whitepapers, or leading academic venues

Requirements

Practical experience with Machine Learning including Classical ML, 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 with relevant work experience
Proficiency in software engineering
Understanding of Computer Science fundamentals such as data structures and algorithms with a data-oriented approach to problem-solving
Excellent communication skills and ability to collaborate with engineering peers and non-engineering stakeholders