Applied Scientist
(Platform Intelligence)

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 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

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

1

Send your resume and a brief cover letter to careers@amigo.ai

2

Include the subject line: "Application for Applied Scientist (Platform Intelligence)"

3

We'll respond within 3-5 business days to schedule next steps

Ready to apply?

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