Amigo
Research Scientist (Recursive Optimization)
Amigo, San Francisco, California, United States, 94199
Research Scientist (Recursive Optimization)
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Research Scientist (Recursive Optimization)
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Amigo
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
Seniority level
Mid‑Senior level
Employment type
Full-time
Job function
Other
Industries
Technology, Information and Internet
#J-18808-Ljbffr
Research Scientist (Recursive Optimization)
role at
Amigo
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
Seniority level
Mid‑Senior level
Employment type
Full-time
Job function
Other
Industries
Technology, Information and Internet
#J-18808-Ljbffr