Machine learning and statistical modeling techniques
Bloomberg is expanding its Engineering AI department to build innovative search, discovery, and workflow solutions using advanced technologies like transformers and large language models
Job Summary
Bloomberg is expanding its Engineering AI department to build innovative search, discovery, and workflow solutions using advanced technologies like transformers and large language models.
The role involves designing, training, and evaluating NLP models to process unstructured financial text for semantic meaning and actionable insights.
Candidates will have the opportunity to publish findings in leading academic venues and collaborate on production systems with high accuracy and low latency requirements.
Matching Summary
Bloomberg is expanding its Engineering AI department to build innovative search, discovery, and workflow solutions using advanced technologies like transformers and large language models.
Salary
Base: $165,000 - $260,000 USD Annual; Bonus/Equity: Incentive compensation available for exempt roles; Benefits: Comprehensive plan including 401(k) match, medical, dental, vision, and wellness programs
Skills & Requirements
Must-have
Natural Language Processing research expertise
Deep learning frameworks like PyTorch
Machine Learning and Statistical Modeling techniques
Nice-to-have
Track record of authoring academic publications
Experience with open-source communities
Ability to represent company at conferences
Key Requirements
PhD in ML/NLP with 2+ years experience OR MSc with 5+ years experience
Strong understanding of computer science fundamentals and data structures
Excellent communication skills for cross-team collaboration