Note: The job is a remote job and is open to candidates in USA. Drata is a leading compliance software company committed to trust and security across the internet. They are seeking a Staff Applied AI Engineer to enhance the quality and effectiveness of their AI systems through research and experimentation, focusing on optimizing retrieval strategies and building evaluation frameworks for their compliance platform.

Responsibilities

• Design and evaluate information access + reasoning strategies across RAG, agents, and classic ML: chunking, embedding models, hybrid search, metadata filtering, structured retrieval, tool use, and multi-step workflows
• Prototype GenAI workflows (including agentic systems) that map and reason over compliance objects (controls ↔ risks ↔ requirements)
• Explore ML + probabilistic approaches where GenAI is not the best fit: classifiers, ranking models, graph/link prediction, calibration, and weak supervision
• Build and maintain evaluation frameworks: golden datasets, automated quality metrics, regression detection
• Implement and tune ranking/reranking systems: cross-encoders, LLM-based rerankers, learning-to-rank, custom scoring functions
• 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; bring innovations into the product

Skills

• 6+ 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
• Strong 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/B testing, statistical analysis
• Strong Python skills and comfort with notebook-driven research workflows
• Experience communicating research findings to engineering teams and translating insights into actionable recommendations
• Experience with compliance, legal, or document-heavy domains
• Publications or contributions in IR, NLP, or RAG evaluation

Benefits

• Shared Success: We provide stock equity to ensure that as the company grows, you share directly in that success.
• Health & Wellness: Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents, along with comprehensive wellness benefits and healthcare concierge services designed to support your needs beyond traditional insurance.
• Financial Well-being: A comprehensive suite of financial benefits, including a 401(k) plan, company-paid life and disability insurance, tax-advantaged spending accounts, and a range of discounted voluntary offerings to help you customize and strengthen your overall financial position.
• Family Support: We want to support you in life's most important moments, so we offer a paid Parental Leave policy, after six months of employment.
• Growth & Development: Generous annual stipends for both professional and personal development, empowering you to invest in your continued growth.
• Time Off & Flexibility: We believe that to do your best work, you should get the time you need for rest, rejuvenation and recovery.

Company Overview

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