Demandbase, Inc

Applied AI Scientist

Demandbase, Inc • $150K — $180K *
San Francisco, CA 94112In-Person
Information Technology
5 - 7 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • 7+ years of experience in NLP, information retrieval, applied ML, and system architecture.
  • Knowledge of Knowledge Graphs, entity resolution, or representation learning.
  • Experience in building scalable systems focusing on latency and reliability.
  • Familiarity with orchestration frameworks and multi-step reasoning systems.
  • Proficiency in LLM Applications, Query Understanding, and Search & Retrieval techniques.
  • Strong coding skills and experience with production codebases.
  • Sound knowledge in statistics and experimentation methods.

Responsibilities

  • Design retrieval pipelines and context assembly methodologies.
  • Enhance AI orchestration and reasoning across workflows.
  • Develop knowledge context graphs for enhanced reasoning capabilities.
  • Collaborate with engineering to translate prototypes into production systems.
  • Share technical expertise to elevate team standards and accelerate decision-making.
  • Write production-level code as necessary to support developments.

Benefits

  • Up to 100% paid Medical and Vision premiums for employees.
  • Flexible PTO policy and paid holidays.
  • Access to mental health and wellness resources.
  • 401(k) options including pre-tax, after tax, and Roth.
  • Short-term and long-term disability insurance and life insurance.
Full Job Description
Applied AI Scientist (Staff level)

About the role
We're hiring a senior IC who pairs deep research training with the ability to ship. You'll work on hard reasoning, retrieval, and orchestration problems, and you'll take them all the way into the product. This is research-informed product work: novel thinking is expected, but prototypes are the start, not the deliverable. You'll be a peer to our senior technical leaders and a close partner to product and engineering.

What you'll do
  • 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.

Must have
  • 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.

Strong plus (any of these stand out, none are required)
  • Knowledge graphs, entity resolution, or representation learning.
  • Query understanding and intent modeling.
  • Search and retrieval depth: lexical, semantic, hybrid, reranking.
  • LLM fine-tuning.
  • A record of taking research from idea to published result to shipped feature.

You'll do well here if
  • You take a nebulous problem, give it structure, build something testable, and iterate.
  • You're the glue between data science, ML engineering, and product.
  • You explain technical tradeoffs clearly and stay focused on what reaches the customer.

About Demandbase, Inc

Demandbase is a marketing and advertising company that provides a range of solutions to help businesses identify and engage with their target audiences. The company offers account-based marketing, advertising, and personalization solutions that enable businesses to deliver personalized experiences to their customers. Demandbase has a team of over 500 employees who are committed to helping businesses achieve their marketing goals. The company is headquartered in San Francisco, California, and has additional offices in New York, London, and Sydney.
Learn more about Demandbase, Inc
Size
500 employees
Industry
Media
Founded
2007
* Ladders Estimates

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