Research Engineer (Verification & Monitoring)
Description:
Job Description
About Amigo
We build AI that puts people first. Instead of just making organizations more efficient, we ensure AI systems actually help humans thrive.
We focus on healthcare because getting things right matters most in this field. Our technology provides organizations with confidence that their AI is functioning correctly before deployment. We use advanced testing and verification to make sure these systems are reliable enough for critical decisions.
We operate globally and follow strict regulations. We've raised $6.5M from investors, including General Catalyst and GSV Ventures. Our team comes from diverse backgrounds—tech, psychology, economics, healthcare, and policy—all working together to create AI that organizations can trust and that genuinely benefits people.
About this role
As a Verification & Monitoring Research Engineer at Amigo, you'll build the systems that ensure our platform maintains reliable performance in production environments. You'll design verification infrastructure for both deterministic and human-biased scenarios, implement drift detection systems, and create monitoring frameworks that track real-world vs simulated performance. Your work is critical to maintaining the statistical confidence that organizations depend on.
What you'll do
Build verification systems that validate system behavior for both mathematical and human bias scenarios
Implement drift detection systems that identify when real-world performance diverges from simulation
Create monitoring infrastructure that tracks system performance across diverse contexts
Build bias detection and fairness monitoring systems for healthcare applications
Implement audit trails and tracing systems that provide explainable system decisions
Design automated testing pipelines that continuously verify system capabilities
What we're looking for
Experience building verification or monitoring systems
Experience with statistical monitoring and anomaly detection systems
Knowledge of statistical testing and experimental design
Understanding of bias detection and fairness in automated systems
Track record of building reliable, production-ready systems
Nice to have
Healthcare or regulated industry experience
Experience with formal verification methods
Background in safety-critical systems development
Knowledge of healthcare compliance and audit requirements
Benefits
Health & Wellness
Comprehensive health, dental, and vision insurance
Mental health support and wellness coaching
Flexible wellness stipend for fitness, therapy, or personal growth
Daily catered lunch and dinner
Growth & Development
Annual learning budget for courses, books, or conferences
Conference attendance budget for professional development
Development setup of your choice
Academic collaboration opportunities
Compensation Range: $150K - $300K
Full-time