Senior Machine Learning Engineer - Artificial Intelligence

AI in this role

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

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

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai

Salary Range = 165,000 - 260,000 USD Annual + 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.
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How we rate this

Senior Machine Learning Engineer - Artificial Intelligence at Bloomberg rates 97 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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