Senior Applied AI Scientist: LLM & Agentic Systems

Demandbase, Inc.; United States; Ibrido; USD 180.000 - 260.000; Tempo pieno

Descrizione del lavoro

Demandbase is hiring an Applied AI Scientist (Staff level) to join our team and translate research into production-ready features that power our GTM platform. You will work on complex retrieval, reasoning, and orchestration problems, partnering with product and engineering to ship impactful capabilities.

We prefer candidates in the SF Bay Area for a hybrid setup; remote consideration is available for the right profile.

Competenze

• PhD in CS, ML, NLP, IR, or a related field.
• 7+ years in applied ML, NLP, IR, or ranking with hands-on ownership of LLM and agentic systems.
• Shipped LLM or RAG-style systems into production and owned their reliability, latency, and monitoring.
• Built and owned agentic or multi-step orchestration (tool use, routing, planning).
• Strong coding ability and production-grade code.
• Solid experimentation and evaluation rigor: offline evals, A/B testing, causal thinking.

Mansioni

• 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.
• Translate research into production-ready capabilities; write real production code.
• Raise technical rigor: share patterns, mentor, and accelerate decisions across teams.

Conoscenze

Shipped LLM or RAG-style systems

Agentic / multi-step orchestration

Strong coding ability

Applied ML/NLP/IR experience

Experimentation and evaluation rigor

IC5-level technical leadership and架架(架

Formazione

PhD in CS, ML, NLP, IR, or related field

Descrizione del lavoro

Demandbase is hiring an Applied AI Scientist (Staff level) to join our team and translate research into production-ready features that power our GTM platform. You will work on complex retrieval, reasoning, and orchestration problems, partnering with product and engineering to ship impactful capabilities.

We prefer candidates in the SF Bay Area for a hybrid setup; remote consideration is available for the right profile.