Culture Amp
Technology
StaffAppliedAIScientist
“Staff Applied AI Scientist at Culture Amp. Skills: Applied AI, LLM evaluation, Observability, LLMOps. Design sampling systems. Run sampling systems”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Proven experience analysing AI product performance, Hands-on LLM evaluation in production, Observability for LLM and agentic systems, Longitudinal measurement experience, Proven commercial experience taking ML/AI to production, Software engineering fundamentals, AI-native daily practice, Comfortable using agentic coding tools, Technical writing and communication, Track record of building capability and teaching others
Nice to Have
Postgraduate degree in ML, CS, Applied Maths, Public writing, talks or open-source work in eval, observability or LLMOps
What You'll Do.
Design sampling systems
Build LLM-powered analysis
Stay current with research
How You'll Work.
Team & Collaboration
Coach team; Product teams; Data science teams; People science teams; Engineering teams
Communication Scope
Technical writing; Communication
Applying for this Staff Applied AI Scientist role?
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