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Machine Learning Team Lead - Artificial Intelligence

📍 New York, NY 💰 250,000 – 350,000 USD / yr 🕒
Work Model
📍 New York, NY
Employment
💼 Full-Time Direct
Recruitment Type
🛡️ Direct to HR Pipeline
🛡️
Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • RemoteVault Editorial Team. Authenticated directly from Bloomberg's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards →

📋 Role Overview & Responsibilities

Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The Bloomberg Terminal connects influential communities across the global financial ecosystem via reliable technology that enables our customers to make informed decisions and foster collaboration.

For over a decade, Bloomberg has been a trailblazer in financial applications of AI, machine learning, and natural language processing (NLP). The Artificial Intelligence group is responsible for driving adoption of these technologies at Bloomberg, with over 300 research engineers working collaboratively to provide clients with the best-in-class news, research, market data, and analytics.

The AI group contributes to Bloomberg's flagship products such as news, research, pricing, communications platforms, search and discovery tools. We work on a variety of AI subfields, including NLP, information retrieval, time series analysis, and recommender systems.

What's In it for you:

We are seeking a highly skilled and motivated Machine Learning Engineering Team Lead who will be responsible for leading a team of ML engineers that are driving applied research in ML/NLP and bringing innovative solutions to data-driven customer-facing products. You will lead the development and application of the state-of-the art machine learning models including leveraging cutting-edge NLP techniques such as Large Language Models (LLMs).You will be collaborating with subject matter experts to gain valuable insights and use their domain expertise to guide building high quality machine learning models. You will closely be working with product owners, our domain experts, data engineers and front-end engineers to build and integrate ML solutions to our product.

We'll trust you to:

Participate in the development process of ML based financial products as a technical leaderCollaborate with colleagues on production machine-learning systems and applicationsDesign, experiment, and evaluate software systemsWrite, test, and maintain production-quality codeRepresent Bloomberg at conferences and open-source communitiesDemonstrate technical leadership by owning cross-team projectsBuild the libraries and frameworks that support fault tolerant and testable systems

You'll need to have:

Extensive experience building and deploying Machine Learning models to productionExtensive experience in software engineeringPrevious experience in leadership, managing and coaching globally distributed teams and influencing third party technology strategyA Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experienceAbility to effectively communicate, challenge and influence team members, peers, and stakeholdersHistory of successfully delivering on key initiatives and driving long-term strategic technology plans

We'd love to see:

Demonstrated experience of building a suite of applications with extensibility in mindPrevious experience in a team leader capacityAn understanding and appreciation for agile development practicesFinancial domain knowledge and experience (not required)

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of 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, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for.

Salary Range: 250,000 - 350,000 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.

Frequently Asked Questions

How do I apply for the Machine Learning Team Lead - Artificial Intelligence position at Bloomberg?

Click the “Apply for this Position” button on this page to submit your application directly to Bloomberg without recruitment intermediary fees.

Is this position eligible for remote work or visa sponsorship?

This position is located in New York, NY with potential relocation and sponsorship assistance depending on candidate qualifications.

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