Senior Machine Learning Engineer - Artificial Intelligence
About The Position
Bloomberg’s Engineering AI department has 450+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. Join the AI Group as a Senior ML Engineer and you will have the opportunity to: 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 ML 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
Requirements
- Practical experience with solving Machine Learning problems and techniques
- Ph.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience
- Experience with machine learning and deep learning frameworks
- An 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
Nice To Haves
- 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 ML models, algorithms and solutions
- Demonstrate technical leadership by owning cross-team projects
- Stay current with the latest research in ML 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
Benefits
- merit increases
- incentive compensation (exempt roles only)
- paid holidays
- paid time off
- medical
- dental
- vision
- short and long term disability benefits
- 401(k) +match
- life insurance
- various wellness programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
