Drata
Engineering
SeniorAppliedResearchEngineer
“Senior Applied Research Engineer at Drata. Skills: Applied Research, Information Retrieval, RAG Systems, Evaluation Methodology. Design and evaluate information access + reasoning strategies. Prototype GenAI workflows”
Industry & Context.
Debug failure modes; Build error taxonomies
What They're Looking For.
Must Have
5+ years of experience in applied research, data science, or ML with a focus on NLP, information retrieval, or knowledge systems, 2+ years of hands-on experience building or contributing to production AI/ML systems, foundation in information retrieval: dense and sparse retrieval, embedding models, search relevance, Experience with RAG systems: chunking strategies, vector databases, retrieval optimization, Proficiency in evaluation methodology: metrics design, golden dataset creation, A testing, statistical significance, Python skills and comfort with notebook-driven research workflows, Experience communicating research findings to engineering teams and translating insights into actionable improvements
Nice to Have
Experience with compliance, legal, or document-heavy domains, Publications or contributions in IR, NLP, or RAG evaluation
What You'll Do.
Design and evaluate information access + reasoning strategies
Prototype GenAI workflows
Explore ML + probabilistic approaches
Build and maintain evaluation frameworks
Implement and tune ranking/reranking systems
Run experiments to validate hypotheses
Collaborate with AI and Software Engineers
Stay current on applied research
How You'll Work.
Team & Collaboration
Collaborate with AI and Software Engineers to hand off validated approaches for productionization
Communication Scope
Communicating research findings to engineering teams
Applying for this Senior Applied Research Engineer role?
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