The roleYou will build AI systems designed to outperform the world's leading experts in Governance, Risk, and Compliance. Not research. Not prototypes. Production systems with a fanatical focus on accuracy, explainability, and responsible design. You will own the AI-native products that set a new global standard for GRC.
We use an in-person work model and offer relocation assistance.
What you'll do- Build & fine-tune models. Fine-tune foundation models on proprietary data and implement novel techniques to achieve world-class accuracy on complex GRC tasks.
- Develop AI-native workflows. Build sophisticated, multi-step agentic workflows that automate complex GRC processes - from risk assessment to compliance monitoring to evidence collection.
- Champion responsible AI. Implement and pioneer methods for AI explainability and safety. Our systems must be transparent, auditable, and fair. This is non-negotiable in our domain.
- Drive innovation. Rapidly prototype, evaluate, and integrate state-of-the-art research (agents, RAG, new architectures) into reliable, production-grade features.
Representative projects- Build an AI agent that analyzes thousands of regulatory documents and internal controls, identifying compliance gaps with higher accuracy than a team of human experts.
- Develop an explainable AI system for risk assessment, allowing auditors and executives to understand and trust the AI's reasoning on high-stakes decisions.
- Build an advanced RAG pipeline over a massive corpus of unstructured company data to produce precise, verifiable assessments against complex compliance requirements.
- Partner with GRC subject matter experts to create ground-truth datasets for tasks like third-party risk evaluation, then fine-tune models that become the industry standard.
What you have- 3+ years in an applied AI or machine learning engineering role.
- Proven product sense. You've shipped reliable, production-scale ML products. You know how to use offline evaluation and online experimentation to achieve high-performance results.
- Hands-on applied AI expertise. Direct experience building with LLMs - fine-tuning, RAG, and agentic systems. Not theoretical. You've put these into production.
- High agency. You take full ownership of outcomes, move with a bias for action, and have a relentless drive for world-class accuracy. You see constraints as design problems, not blockers.
- Strong communication. You can work closely with security and GRC research counterparts and articulate technical tradeoffs clearly.
Minimum Qualifications- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 3+ years of experience in applied AI, machine learning engineering, or a related technical role
- Demonstrated hands-on experience building and deploying LLM-based systems (fine-tuning, RAG, or agentic workflows) in a production environment
- Strong written and verbal communication skills - you will collaborate closely with GRC subject matter experts and must translate technical tradeoffs clearly to non-technical stakeholders
Compensation & benefits- Competitive salary + significant equity
- Flexible PTO
- Medical, dental, and vision insurance
- Meals and snacks in the office
- Relocation and immigration support
