Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
Compliance @ 3
GenAI
Generative AI
Machine Learning @ 3
NLP @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. It envisions, designs, and prototypes next-generation infrastructure, hardware, and applications for the Bloomberg Terminal. Its work spans generative AI, cloud and platform strategy, open-source stewardship, developer productivity, and applied research. Responsible AI is a strategic priority as AI becomes increasingly central to Bloomberg's products and operations.
This highly cross-functional role sits at the intersection of research, technology, governance, and execution. The successful candidate will work with senior technical leaders, researchers, engineers, product teams, legal and compliance partners, and business stakeholders to ensure Bloomberg's AI systems are trustworthy, transparent, and aligned with evolving industry standards and regulatory expectations. The role combines strategic thinking with hands-on execution, including original research, evaluation and governance frameworks, and influencing technical direction.
Responsibilities
- Engage with the broader AI and research community on responsible AI through conferences, workshops, shared tasks, and other collaborative efforts.
- Develop frameworks, methodologies, and best practices for evaluating and deploying AI systems responsibly at scale.
- Lead strategic and tactical engagements across the company, synthesizing technical, regulatory, and business considerations into actionable recommendations.
- Translate emerging AI research, policy, and regulatory developments into practical guidance for internal stakeholders.
- Conduct original, high-impact research in responsible AI, contributing to internal advancements and the broader AI community.
- Drive complex initiatives from concept through implementation.
- Communicate effectively in deep technical discussions and at the executive level while building alignment across diverse stakeholders.
Requirements
- Ph.D. in computer science, machine learning, NLP, or a related field, or equivalent industry experience.
- Strong track record of research and/or applied work in responsible AI.
- Recognition as a research thought leader in one or more areas of responsible AI.
- Demonstrated ability to independently lead ambiguous, cross-functional initiatives from strategy through execution.
- Experience communicating technical research to both technical and non-technical audiences.
- Strong collaboration skills and comfort working across organizational boundaries.
- Experience working with executive stakeholders on strategic technology initiatives.
Preferred Qualifications
- Experience implementing responsible AI practices in large-scale production environments.
- Contributions in AI governance, policy, or regulation, such as developing technical frameworks for regulatory compliance or contributing to standards bodies.
- Contributions to open-source responsible AI tools, evaluation frameworks, or datasets.
- Good understanding of financial markets, instruments, products, and regulation.
- Exposure to the Bloomberg Terminal and/or enterprise data products.
Benefits
The salary range is $240,000-$330,000 USD annually, plus benefits and bonus. Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental and vision coverage, short- and long-term disability benefits, a 401(k) match, life insurance, and wellness programs.