Applied AI Scientist
Demandbase· Engineering
Hybrid (San Francisco, California)$206k - $310kFull-timePosted 6mo ago
About the role
Senior individual contributor role focusing on design and deployment of AI-driven reasoning, retrieval, and orchestration systems for production use, with research-informed product impact.
Responsibilities
- Design grounding and context assembly: retrieval pipelines, context selection, query understanding.
- Improve orchestration and reasoning across multi-step workflows: tool use, routing, decomposition, evaluation.
- Build structured representations that help the system reason over accounts, people, and activity.
- Bring research-grade rigor to ambiguous problems, then translate it with engineering into reliable, production-ready capabilities. You won't be a full-time SWE, but you write real code that holds up in production.
- Raise technical rigor: share patterns, mentor, and accelerate decisions across teams.
Qualifications
- PhD in CS, ML, NLP, IR, or a related field.
- 7+ years in applied ML, NLP, IR, or ranking (research-track and graduate work can count toward depth), with recent hands-on ownership of LLM and agentic systems.
- Shipped LLM or RAG-style systems into production and personally owned their reliability, latency, and monitoring at scale.
- Built and owned agentic or multi-step orchestration (tool use, routing, planning), not just prototypes or demos.
- Strong coding ability and real comfort in a production codebase.
- Solid experimentation and evaluation rigor: offline evals, A/B testing, causal thinking.
- IC5 signals: set technical direction across teams, owned architecture, and operated as a peer-level influence, not just a strong executor.
Skills
Required:PhD in CS, ML, NLP, IR, or related fieldApplied ML/NLP/IR/RankingLLM / RAG-style systemsAgentic/multi-step orchestrationProduction code proficiencyExperimentation & evaluation rigor
Last updated Jul 17, 2026. Interested? Apply on the company site.
About Demandbase
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