Research Scientist (Recursive Optimization)

Job Description

Job Description

About Amigo

Amigo builds trust and safety infrastructure for AI in mission-critical environments.

We partner with organizations in healthcare and other regulated sectors to deploy AI systems that operate reliably when the stakes are highest. Our infrastructure enables verification, monitoring, and real-time oversight—ensuring AI serves people safely at scale.

We've raised $6.5M from General Catalyst and GSV Ventures. Our team combines expertise in distributed systems, quantitative research, clinical operations, and regulatory environments to build AI that organizations can trust.

About this role

As a Research Scientist (Recursive Optimization) at Amigo, you'll lead the theoretical work that makes our production systems possible. You'll research recursive optimization approaches that solve real problems, publish your findings, and guide our research team's technical direction. Your work creates the scientific foundation that lets our deployed systems optimize for human outcomes rather than just efficiency metrics.

What you'll do

Conduct fundamental research on recursive optimization theory and human-centric optimization problems

Publish research in top-tier optimization and systems conferences and journals

Provide technical leadership and research direction across the research organization

Design theoretical frameworks for understanding and improving human-centric optimization systems

Collaborate with applied scientists and engineers to translate research into practical systems

Establish research collaborations with leading academic institutions

What we're looking for

PhD with focus on optimization, statistics, or computational methods

Strong publication record in top-tier optimization or systems conferences

Deep theoretical knowledge of optimization and computational systems

Track record of translating theoretical research into practical applications

Experience with research leadership and mentoring

Nice to have

Industry experience applying research to real-world problems

Healthcare or other domain expertise in human-centric systems

Experience with interdisciplinary research combining AI with other fields

Track record of successful research collaborations and partnerships

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