Senior ML Research Engineer – Artificial Intelligence

Senior ML Research Engineer – Artificial Intelligence Overview

Bloomberg’s Engineering AI organization is a large group of more than 400 AI specialists building products and features that often depend on original technical breakthroughs. The team is investing heavily in artificial intelligence to improve search, discovery, and workflow experiences using approaches such as transformers, gradient-boosted decision trees, large language models, and dense vector databases. The role sits within this expanding area and is aimed at people who can help deliver innovative AI-driven products for customers.

The broader business focuses on creating a transparent and efficient financial marketplace. Bloomberg’s technology makes news, research, financial data, and analytics across more than 35 million financial instruments searchable, discoverable, and actionable for users in global capital markets. The company has been developing AI applications since 2009 to solve problems that require both high accuracy and low latency. These systems are used to process and organize large volumes of structured and unstructured information, uncover signals, generate analytics across all asset classes, and provide clarity when clients need it most.

In this senior research engineering role, you would contribute to work such as anomaly detection in bond time-series data, dividend forecasting, gas emission estimation, and assessing the financial impact of controversies. The position combines research, engineering, and cross-functional collaboration, with an emphasis on building practical solutions that can be deployed in production.

What you would do

• Partner with teammates on production systems and produce code that is suitable for live use, including writing, testing, and maintaining it to a high standard.
• Develop machine learning models and related algorithms by designing them, training them, running experiments, and evaluating their performance.
• Provide technical leadership by taking ownership of projects that involve multiple teams.
• Stay informed about the latest AI research and apply new findings to Bloomberg’s models and methods where appropriate.
• Act as a representative of Bloomberg in scientific forums, industry events, and open-source communities.
• Share product and research results through documentation, white papers, or publications in leading academic venues.

What the role calls for

• Practical experience working on machine learning problems, with familiarity in classical machine learning, deep learning, and statistical modeling techniques.
• A PhD in machine learning, natural language processing, or a related area, or an MSc in computer science, machine learning, mathematics, statistics, engineering, or a similar discipline together with relevant professional experience.
• Strong capability in software engineering.
• Good understanding of core computer science concepts such as data structures and algorithms, plus a problem-solving style grounded in data.
• Excellent written and verbal communication skills, along with the ability to collaborate effectively with engineering peers and non-engineering stakeholders.
• A history of publishing in top conferences or journals is viewed as a strong advantage.
• Bloomberg notes that years of experience are only a guideline and that candidates who can demonstrate the right skills will be considered even if their background does not exactly match the stated experience level.

Additional information

Bloomberg highlights its AI outreach efforts and invites candidates to learn more about the company’s technology community through its AI outreach site. The posting also points applicants to Bloomberg’s podcast series for a closer look at the company’s culture, values, and people.

Applicants who need support during the hiring process can request a reasonable adjustment or accommodation. Examples include changes to the application process or work procedures, documents in an alternative format, or the use of specialized equipment. Requests should be sent to the relevant regional recruitment email address depending on where the application is being made: [email protected] for the Americas, [email protected] for Europe, the Middle East and Africa, or [email protected] for Asia-Pacific. Bloomberg also notes that information may be shared with a third-party accommodation provider for the purpose of supporting the request.

Bloomberg states that it is an equal opportunity employer and does not discriminate in employment. The company says it aims to provide equal opportunity and access for all people and will not treat applicants or employees less favorably because of protected characteristics, including age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, reproductive health decisions, parental or caring status, disability, pregnancy, childbirth or related medical conditions, parental leave, veteran status, domestic violence victim status, or any other category protected by law.

Degree Requirement: Not Specified

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