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Staff Applied Research Engineer

Drata · Hybrid - San Francisco · Hybrid · Active · $220,800–$298,800 / year · Ashby

Job facts

FieldValue
CompanyDrata
TitleStaff Applied Research Engineer
Normalized title-
Department / teamEngineering / Engineering
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$220,800–$298,800 / year
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Drata.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDrata
Sourcee83344e5-9a12-421c-87bb-5ab95a58d954
ATS providerAshby

Description

Our Mission & Values: At Drata, we help companies earn and keep the trust of their users, customers, partners, and prospects. We’re the proof layer that shows great companies deserve the trust they aim to build. We live our values every day. Built on Trust means consistency is everything. Act with Integrity by always doing the right thing. Being Customer-Obsessed keeps the people we serve at the center of our work. Competitive Fire drives us to push ourselves harder than anyone else. Diversity brings unique perspectives that lead to better solutions. Automation First ensures we save time and money by making efficiency a priority. Our Culture & Work Style 🚀 At Drata, we’re not just building software - we’re building a mindset. Everything we do springs from: Be a Driver (Owner‑Operator Mentality): Own your work. Improve relentlessly. Deliver results. Move at Drata Speed (Precision & Velocity): Fast decisions. Quick learning. Immediate impact. Stay Mission-Driven (Customer‑Obsessed): Challenge assumptions. Deliver value. Stay hungry. We pair that high-velocity culture with a thoughtful hybrid model because we believe flexibility and collaboration both matter. That’s why in the Bay we come together in-office Tuesday through Thursday our high‑impact collaboration days where teams align, strategize, and innovate. Mondays and Fridays are flexible, giving you space for focused work, balance, and autonomy. If you thrive when you’re empowered, energized, and working with smart, mission-driven people, you’ll feel at home here. 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. See the Speed: Watch our CEO, Adam Markowitz, discuss the hyper-growth journey, from $0 to $100M ARR in just four years Hear the Voice of the Team : Explore our "Life at Drata" page for employee testimonials on our collaborative and the growth opportunities available. Experience the Impact : See why we are consistently recognized on Fortune's Best Workplaces lists. 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. Equity gives every employee a sense of ownership and the opportunity to celebrate our wins together—because your contributions don’t just support our progress; they help drive our collective 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. Employees also receive access to Kindbody fertility and family-building benefits and dedicated leave specialists who help guide you through the entire process. Growth & Development: Generous annual stipends for both professional and personal development, empowering you to invest in your continued growth. You’ll also have access to a wide range of internal learning opportunities, ensuring you can build new skills, deepen your expertise, and advance your career with confidence. Time Off & Flexibility: We believe that to do your best work, you should get the time you need for rest, rejuvenation and recovery. Drata offers a flexible vacation policy, paid holidays, and other perks to recharge. This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs). The applicable salary range for this role is: $220,800 - $298,800. A variety of factors are considered when determining someone’s leveling and compensation–including a candidate’s professional background and experience. These ranges may be modified in the future and final offer amounts may vary from the amounts listed above.

Full job record

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Org IDbd2eaeba-9e99-43a5-ad7d-63c322032999
Source IDe83344e5-9a12-421c-87bb-5ab95a58d954
Board IDe83344e5-9a12-421c-87bb-5ab95a58d954
Providerashby
Provider Job Key5fe5bc38-678d-468f-a762-a2144e88e45e
TitleStaff Applied Research Engineer
Normalized Title
Statusactive
Activeyes
Location TextHybrid - San Francisco
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Rawsalary range for this role is: $220,800 - $298,800. A variety of factors are considered when determining someone’s leveling and com
Salary Min220,800
Salary Max298,800
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.ashbyhq.com/drata/5fe5bc38-678d-468f-a762-a2144e88e45e
Apply URLhttps://jobs.ashbyhq.com/drata/5fe5bc38-678d-468f-a762-a2144e88e45e/application
First Seen At2026-05-29 07:05:02Z
Last Seen At2026-06-06 09:31:48Z
Last Checked At2026-06-06 09:31:48Z
Last Changed At2026-05-29 07:05:02Z
Inactive At
Source Posted At
Source Updated At
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Parsed Structured
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Extensions
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Native Structured
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