Member of Technical Staff - AI Research Engineer (Explainability & Alignment)

Type: Full-time | Location: Remote | Function: Alignment & Explainability | Reports to: CTO/CEO About Elloe AI Elloe is building the immune system for AI. We help organizations in healthcare, finance, and policy deploy GenAI systems that are explainable, auditable, and safe. Our stack fuses SHAP explainability, secure Vault sync, and red-team simulation defense — all built by engineers from MIT and Harvard.

About the Role: You’ll own the design of SHAP-driven explainability and model alignment systems for GenAI in high-stakes industries. From human-in-the-loop correction to production-grade dashboards, you’ll architect and ship the critical loops that make AI traceable, safe, and compliant. for real-world GenAI. This means SHAP-layer visualizations, alignment experiments with AutoHeal, and deeply integrating human feedback into every model correction. You’ll own core loops that power how Elloe learns to heal itself. What You’ll Own Design and implement SHAP-based explanation layers for GenAI outputs Architect AutoHeal interventions for misaligned model behavior Build alignment experiments grounded in real-world compliance datasets Own deployment of explainability dashboards for internal and customer usage

Who You Are: MIT/Harvard (CS, EECS, HST) with strong research-to-production instincts

Compensation: Salary + equity