Member of Technical Staff, Enterprise AI

About the role

A forward-deployed research role inside enterprise AI workflows, finding real-world failure modes, designing high-signal datasets and evaluation frameworks, and running fast experiments to improve system performance.

What you will do

• Embed within enterprise AI workflows and identify, formalise and prioritise failure modes
• Design high-signal datasets and evaluation protocols targeting model weaknesses
• Run rapid experimental cycles and benchmark agentic workflows for robustness and reliability
• Build lightweight tooling for evaluation, data curation and experimentation
• Share findings through reports, benchmarks and clear recommendations across teams

What they look for

• Master's degree in computer science, machine learning, AI or a closely related field
• Strong judgement on research-signal quality, data selection and evaluation design
• Ability to turn ambiguous operational issues into structured research problems
• Strong analytical skills and concise, actionable technical insights
• Effective execution in rapid iteration cycles and high-ambiguity settings

Nice to have

• Client-facing experience in technical or research settings
• Experience building internal research or evaluation tooling

Pay

USD 300,000 to 700,000 per year