Overview
In this senior role, you will advance ML research and production-ready AI solutions within Bloomberg’s Engineering AI group. You will design and evaluate models, lead cross-team projects, and stay at the forefront of AI research while contributing to AI-driven financial products. You will represent Bloomberg in conferences and publish findings to enhance our analytics and decision-making capabilities. This is a hands-on, impact-driven position at a scale that shapes financial markets through AI.
Responsibilities
- Collaborate on production systems and contribute high-quality code that meets production standards
- Design, train, experiment with, and evaluate ML models, algorithms and solutions
- Demonstrate technical leadership by owning cross-team projects
- Stay current with cutting-edge AI research and integrate findings into models
- Represent Bloomberg at scientific/industry venues and in open-source communities
- Publish product and research findings in documentation, whitepapers or academic venues
Key requirements
- Practical experience with machine learning across classical ML, deep learning and statistical modeling
- PhD in ML, NLP or related field or MSc in CS, ML, Math, Statistics, Engineering, or related fields with relevant work experience
- Proficiency in software engineering
- Solid understanding of CS fundamentals (data structures and algorithms) and a data-oriented problem-solving approach
- Excellent communication and collaboration skills with engineering peers and non-engineering stakeholders
- Track record of authoring publications in top venues is a plus
- excellent communication
- collaboration with cross-functional teams
- technical leadership
- Practical ML experience
- Familiarity with classical ML, deep learning, and statistical modeling
- Knowledge of NLP and AI techniques
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