Bloomberg's Engineering AI department is seeking highly skilled individuals to contribute to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. Bloomberg has been building Artificial Intelligence applications that offer solutions to problems with high accuracy and low latency since 2009. They build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Their use of AI uncovers signals, helps produce analytics about financial instruments in all asset classes, and delivers clarity when clients need it most.
Requirements
- Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques
- Experience with deep learning frameworks such as PyTorch
- Proficiency in software engineering
- An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
- A track record of authoring publications in top conferences and journals is a strong plus
Responsibilities
- Collaborate with colleagues on production systems and write, test, and maintain production quality code
- Design, train, experiment, and evaluate NLP models, algorithms and solutions
- Demonstrate technical leadership by owning cross-team projects
- Stay current with the latest research in NLP and incorporate new findings into our models and methodologies
- Represent Bloomberg at scientific and industry conference and in open-source communities
- Publish product and research findings in documentation, whitepapers or publications to leading academic venues
Other
- Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields. and 2+ years of relevant work experience
- Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
