Machine Learning Team Lead - Artificial Intelligence Group

Description & Requirements

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 leader
• Collaborate with colleagues on production machine-learning systems and applications
• Design, experiment, and evaluate software systems
• Write, test, and maintain production-quality code
• Represent Bloomberg at conferences and open-source communities
• Demonstrate technical leadership by owning cross-team projects
• Build the libraries and frameworks that support fault tolerant and testable systems

You'll Need to Have

• 5+ years of experience building and deploying Machine Learning models to production
• 2+ years of experience in leadership, managing and coaching globally distributed teams and influencing third party technology strategy
• Extensive experience in software engineering
• A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
• Ability to effectively communicate, challenge and influence team members, peers, and stakeholders
• History 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 mind
• Previous experience in a team leader capacity
• An understanding and appreciation for agile development practices
• Financial domain knowledge and experience (not required)

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.