Technical Strategist for AI Research - CTO Office

Bloomberg L.P.; New York (NY); On-site; USD 240,000 - 330,000; Full time

Benefits offered by this job

401(k) + match

Medical, dental, vision benefits

Paid time off

Paid holidays

Wellness programs

Disability benefits

Job summary

Bloomberg L.P. is seeking an experienced AI/ML research professional to join the CTO Office. The role focuses on strengthening AI research systems, reproducibility, and engagement with the broader ML community, from foundational research to product-oriented initiatives.

You will shape technical perspectives, collaborate with academic and industry partners, and help design scalable research workflows within Bloomberg’s research ecosystem.

Qualifications

• PhD in AI/ML, computer science, statistics, optimization, data science, or related field.
• 5+ years of experience post-PhD in industry, academia, or research-oriented org.
• Strong publication record and visibility in AI research community.
• Experience with rigorous peer-reviewed publication, reproducibility, or internal review systems.
• Ability to translate technical context for non-specialist stakeholders.
• Strong organizational skills and interest in improving complex workflows.

Responsibilities

• Contribute to Bloomberg’s research agenda through original research, academia and industry collaboration, and engagement with ML community.
• Strengthen processes, norms, and infrastructure to support rigorous, reproducible research.
• Track advances in ML to inform Bloomberg’s products, platforms, and clients.
• Represent Bloomberg’s AI research perspective in external conferences, workshops, and partnerships.

Education

PhD in AI/ML or related technical field

Tools

Publication record

Cross-functional collaboration

Communication

Rigor in research processes

Job description

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.

As a member of the ML Strategy team, you will contribute to Bloomberg’s research agenda through original research, collaboration with academic and industry partners, and engagement with the broader machine learning community. You will be expected to form and share technical perspectives on important research directions and help shape how Bloomberg engages with emerging developments in AI and machine learning.

A major focus of this role will be strengthening the systems and processes that support high‑quality AI research at Bloomberg. You will help design, streamline, automate, and operate workflows that make rigorous, reproducible research easier to review, prepare, publish, and communicate externally. You will work with researchers, research leadership, Communications, Legal, and others to make the research publication pipeline clearer, more scalable, and more effective.

We’ll trust you to

• Contribute to Bloomberg’s research agenda through original research, academic and industry collaboration, and engagement with the broader machine learning research 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.

You’ll need to have

• 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.

We’d love to see

• Strong publication record in top ML venues (e.g., ICLR, ICML, NeurIPS, AISTATS, UAI, KDD, JMLR, TMLR).
• Active participation in the research community through workshop or tutorial organization, conference service, peer review, academic‑industry collaborations, or open research infrastructure.
• Experience advancing research excellence by designing, improving, or scaling systems that raise the quality, rigor, reproducibility, fairness, efficiency, or impact of research — whether inside an organization or across a broader research community.
• Research expertise that overlaps with one or more priority areas for this position, including 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; and modern approaches to time‑series modeling.
• A good understanding of financial markets, instruments, and products.
• Exposure to Bloomberg Terminal and/or enterprise data products.

Salary Range = 240,000 – 330,000 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.

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 parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [e-mail]