Senior Machine Learning Engineer - Artificial Intelligence

Description & Requirements

Bloomberg's Engineering AI department has 350 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 Research 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

You'll need to have:

• 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.
• A track record of authoring publications in top conferences and journals is a strong plus

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Salary Range = 00 USD Annually Benefits Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include 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, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.