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 an Applied Scientist (Platform Intelligence) at Amigo, you'll develop systems that automatically optimize platform performance, resource allocation, and user workflows. You'll build statistical models that learn from usage patterns to improve developer productivity and system reliability. Your work will make our platform increasingly self-optimizing over time.

What you'll do

• Build statistical systems that automatically optimize resource allocation and platform performance

• Develop intelligent recommendation systems that guide developers toward optimal configurations

• Create systems that learn from usage patterns to predict and prevent potential issues

• Design automated optimization algorithms for compute resource management and cost efficiency

• Build anomaly detection systems that identify unusual patterns in platform usage

• Develop predictive models for capacity planning and scaling decisions

• Create systems that automatically tune platform parameters based on workload characteristics

• Build intelligence into developer tools that provide contextual suggestions and guidance

• Design A/B testing frameworks for optimizing platform features and user experiences

• Collaborate with engineering teams to integrate optimization capabilities into platform infrastructure

What we're looking for

• Strong background in statistics, optimization, and applied computational systems

• Experience building production systems that optimize infrastructure or user experiences using statistical methods

• Knowledge of optimization algorithms and resource allocation strategies

• Experience with time series analysis and predictive modeling

• Understanding of distributed systems and platform architecture

• Strong programming skills and experience with statistical computing frameworks

• Knowledge of statistical methods and experimental design

• Experience with real-time optimization systems and online learning approaches

• Understanding of cost optimization and resource management in cloud environments

• Track record of building optimization systems that improve system performance or user productivity

Nice to have

• Experience with platform engineering or infrastructure optimization

• Background in recommender systems or personalization algorithms

• Knowledge of reinforcement learning for system optimization

• Experience with developer tools and understanding of developer workflows

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