AI Research Strategy Lead for Reproducible ML Systems

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

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.