Staff Applied Engineer

Rozgoo; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Stock equity

Health & Wellness benefits

Financial well-being benefits

Job summary

Drata is seeking an Applied AI Engineer to advance AI systems with rigorous research, experimentation, and evaluation. You will optimize retrieval strategies, build evaluation frameworks, and establish scientific foundations for trustworthy AI features across regulatory documents and compliance artifacts.

This research-focused role emphasizes experimentation and rigor over production engineering, collaborating with AI and software engineers to productionize validated approaches while maintaining

Qualifications

• 10+ years of experience in applied research, data science, or ML with a focus on NLP, information retrieval, or knowledge systems.
• Strong Python skills and notebook-driven research workflows.
• Experience communicating research findings to engineering teams and translating insights into actionable recommendations.
• Bonus: Compliance, legal, or document-heavy domains.

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 that map and reason over compliance objects
• Explore ML + probabilistic approaches where GenAI is not the best fit: classifiers, ranking models, graph/link prediction
• 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
• 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

NLP

Information retrieval

Applied ML

Python

Research leadership

Tools

Vector databases

Embedding models

RAG systems

Job description

Why Join The Drata Team?

The best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide , united by a culture that values trust, speed, and continuous growth. Hear the Voice of the Team : Explore our \"Life at Drata\" page for employee testimonials on our collaborative and the growth opportunities available. Connect with Us on Socials: LinkedIn - follow us for company updates, employee stories, and career news.

Job Summary:

Drata, at the vanguard of compliance software innovation and renowned for its commitment to trust and security across the internet, is on an ambitious path to redefine how AI and General AI technologies bolster compliance automation. Drata is seeking an Applied AI Engineer to drive the quality and effectiveness of our AI systems through rigorous research, experimentation, and evaluation. In this role, you will optimize retrieval strategies, build evaluation frameworks, and establish the scientific foundation that enables our AI features to deliver accurate, trustworthy results. This is a research-focused role emphasizing experimentation and rigor over production engineering. You'll work closely with AI Engineers handing off validated approaches for them to productionize while owning the quality metrics and evaluation systems that ensure our AI delivers on its promises. Drata's compliance platform is document-heavy: VRM Agent, AIQA, Trust Agent, policy-to-control mappers, and regulatory summarization all depend on retrieving the right information from large document sets. Your work will directly impact how well our AI understands and navigates compliance artifacts.

What you'll do:

• 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

What you'll bring:

• 10+ 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


• Bonus: Experience with compliance, legal, or document-heavy domains


• Bonus: Publications or contributions in IR, NLP, or RAG evaluation

Your contributions at Drata will not only shape the future of compliance and security automation but also solidify our standing as an innovator in the space, driving forward our mission with cutting-edge technology.

How we support you:

At Drata, our people are our strongest advantage—and we prove it with support that exceeds industry standards. Our total rewards package is designed to power your well-being, accelerate your growth, and keep your work-life balance thriving. Explore how we invest in your Life at Drata .

• 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 acco