Research Scientist
(Recursive Optimization)
Research · NYC (Onsite) · Full-time
US Visa and Green Card sponsorship available
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 there. Our technology gives organizations confidence that their AI is working correctly before they deploy it. 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 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
Preferred experience
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
Compensation
Base Salary
$150k - $300k
Equity
Options
Value ranges from $300k to $1M+
What we offer
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
How to apply
Application Process
Send your resume and a brief cover letter to careers@amigo.ai
Include the subject line: "Application for Research Scientist (Recursive Optimization)"
We'll respond within 3-5 business days to schedule next steps
Ready to apply?
or email careers@amigo.ai
