Technical Strategist for AI Research - CTO Office

Description & Requirements

Bloomberg’s CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, platforms, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative AI, and more. We are passionate about what we do.

What’s In It For You

Bloomberg is seeking an experienced AI/ML research professional with deep and broad understanding of modern machine learning. This role is well suited to someone who publishes in and helps organize workshops at top machine learning research venues, who has experience shaping the research environment in prior roles, and who enjoys engaging with teams working across the spectrum from foundational research to applied ML and product development.

Contribute to Bloomberg’s research agenda

• Through original research, collaboration with academic and industry partners, and engagement with the broader machine learning community.
• Help shape a flourishing AI research ecosystem at Bloomberg by strengthening the processes, norms, and infrastructure that support rigorous, reproducible, externally visible research.
• Track important advances in your areas of machine learning expertise, and help Bloomberg understand their relevance to our products, platforms, research agenda, and clients.
• Represent Bloomberg’s AI research and technical perspective in appropriate external settings, including conferences, workshops, academic collaborations, and partner engagements.

Qualifications

• PhD in AI, machine learning, computer science, statistics, optimization, data science, or a related technical field.
• 5+ years of experience post-PhD in industry, academia, or a research-oriented organization.
• Strong publication record and credible presence in the AI research community.
• Experience with rigorous research review and publication processes, including peer-reviewed submissions, reproducibility practices, or internal review systems.
• Strong judgment about AI research quality, rigor, reproducibility, and responsible external communication.
• Ability to build trust and work effectively across research, product, engineering, communications, legal, and external partner communities.
• Excellent written and verbal communication skills, including the ability to translate technical research context for non-specialist stakeholders.
• Strong organizational skills and an interest in improving complex workflows, systems, and processes.
• Comfort operating in ambiguous environments where processes, responsibilities, and edge cases may need to be clarified or improved over time.

Research Expertise

• Model adaptation, compression, and distillation
• Inference and serving for large models
• Long-context and memory-augmented systems
• Reinforcement learning and learning from feedback
• Synthetic data and data curation
• Modern approaches to time-series modeling

Additional Requirements

• A good understanding of financial markets, instruments, and products.
• Exposure to Bloomberg Terminal and/or enterprise data products.

Pay

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.

Benefits

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.