Senior Applied AI Engineer
Drata
Posted: 10/20/2026Python
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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in applied research and machine learning, particularly in information retrieval and natural language processing. Proficient in designing evaluation methodologies and building production AI/ML systems with a strong focus on compliance and relevance.
Highest-signal resume keywords
Applied Research ExperienceMachine Learning ProficiencyInformation Retrieval ExpertisePython Programming SkillsEvaluation Methodology Design
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Drive the quality and effectiveness of Drata's AI systems through rigorous experimentation, evaluation, and applied research
- Own the science behind how Drata's AI products retrieve, reason, and respond
- Design and evaluate information access and reasoning strategies across RAG, agents, and classic ML
- Prototype GenAI workflows, including agentic systems, that map and reason over compliance objects
- Explore ML and probabilistic approaches including classifiers, ranking models, graph/link prediction, calibration, and structured prediction
- Build and maintain evaluation frameworks with golden datasets, automated quality metrics, and regression detection
- Implement and tune ranking and reranking systems
- Run experiments to validate hypotheses and quantify improvements before production rollout
- Debug failure modes and build error taxonomies across retrieval, reasoning, and generation
- Collaborate with AI and Software Engineers to hand off validated approaches for productionization
- Stay current on applied research in RAG, agents, LLM evaluation, and relevance modeling and bring innovations into the product
Requirements
What you’ll need- 6+ years of experience in applied research, data science, or ML focused on NLP, information retrieval, or knowledge systems
- 2+ years of hands-on experience building or contributing to production AI/ML systems
- Strong foundation in information retrieval, including dense and sparse retrieval, embedding models, and search relevance
- Experience with RAG systems, chunking strategies, vector databases, and retrieval optimization
- Proficiency in evaluation methodology, including metrics design, golden dataset creation, A/B testing, and statistical significance
- Strong Python skills and comfort with notebook-driven research workflows
- Experience communicating research findings to engineering teams and translating insights into actionable improvements
- Experience with compliance, legal, or document-heavy domains is a bonus
- Publications or contributions in IR, NLP, or RAG evaluation are a bonus
- Willingness and ability to commute to the 2nd Street office each week on Tuesday, Wednesday, and Thursday
- Authorization to work in the country where the job is located
- Must not require employer sponsorship to obtain or maintain work authorization
Benefits
Comp & perks- Stock equity
- Up to 100% employer-paid medical, dental, and vision premiums for employees and dependents
- Comprehensive wellness benefits
- Healthcare concierge services
- 401(k) plan
- Company-paid life and disability insurance
- Tax-advantaged spending accounts
- Discounted voluntary offerings
- Paid parental leave after six months of employment
- Kindbody fertility and family-building benefits
- Dedicated leave specialists
- Annual professional and personal development stipends
- Internal learning opportunities
- Flexible vacation policy
- Paid holidays
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningNatural Language ProcessingInformation RetrievalEvaluation MethodologyStatistical SignificanceRanking ModelsGraph PredictionEmbedding ModelsA/B TestingRegression Detection
Soft Skills
Communication SkillsCollaboration
Tools & Technologies
Vector DatabasesRAG SystemsNotebook-Driven Research Workflows
Industry Keywords
ComplianceDocument-Heavy DomainsResearch PublicationsNLP Evaluation