Research Scientist (Recursive Optimization)

About AmigoAmigo 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 RoleAs 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 DoConduct fundamental research on recursive optimization theory and human-centric optimization problemsPublish research in top-tier optimization and systems conferences and journalsProvide technical leadership and research direction across the research organizationDesign theoretical frameworks for understanding and improving human-centric optimization systemsCollaborate with applied scientists and engineers to translate research into practical systemsEstablish research collaborations with leading academic institutionsWhat We're Looking ForPhD with focus on optimization, statistics, or computational methodsStrong publication record in top-tier optimization or systems conferencesDeep theoretical knowledge of optimization and computational systemsTrack record of translating theoretical research into practical applicationsExperience with research leadership and mentoringNice to haveIndustry experience applying research to real-world problemsHealthcare or other domain expertise in human-centric systemsExperience with interdisciplinary research combining AI with other fieldsTrack record of successful research collaborations and partnershipsBenefitsHealth & WellnessComprehensive health, dental, and vision insuranceMental health support and wellness coachingFlexible wellness stipend for fitness, therapy, or personal growthDaily catered lunch and dinnerGrowth & DevelopmentAnnual learning budget for courses, books, or conferencesConference attendance budget for professional developmentDevelopment setup of your choiceAcademic collaboration opportunitiesCompensation Range: $150K - $300K