About Kouper Health
Kouper is redefining how care transitions happen. Backed by General Catalyst, CVS Health Ventures, 25madison, and leading health system partners, we’re on a mission to bridge the care transition gap and fundamentally improve the patient experience — helping people live longer, healthier lives.

Position Overview:
We're looking for a Senior ML Engineer to build the AI systems that power personalized patient engagement at scale. You'll develop and optimize LLM-based applications, build predictive models for patient outcomes, and create the evaluation frameworks that ensure our AI delivers on its promise. This is a foundational role where you'll shape how we apply machine learning to transform healthcare.

Responsibilities

• Design and build LLM-powered applications for patient communication and care navigation
• Develop predictive models for patient engagement, risk stratification, and care optimization
• Build robust evaluation frameworks and metrics to measure model quality, safety, and clinical appropriateness
• Architect ML systems that handle diverse healthcare data sources while maintaining privacy and compliance
• Optimize model performance for latency, cost, and quality across production workloads
• Collaborate with product and clinical teams to translate healthcare problems into ML solutions
• Stay current on ML research and bring relevant innovations into production applications
• Partner with backend engineers to integrate ML systems into the broader platform architecture

Qualifications

• 5+ years of experience in machine learning engineering with at least 2 years working with LLMs or NLP systems
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Hands-on experience building and deploying LLM-based applications in production
• Deep understanding of modern ML techniques: fine-tuning, prompt engineering, RAG, embedding models
• Experience designing evaluation frameworks and metrics for ML system quality
• Strong software engineering fundamentals with ability to write production-quality code
• Excellent problem-solving skills and ability to translate ambiguous requirements into technical solutions

Preferred Qualifications

• Experience with healthcare AI applications or clinical NLP
• Background in conversational AI, dialogue systems, or voice-based applications
• Research experience or publications in ML/NLP
• Familiarity with healthcare data standards (HL7, FHIR) and privacy requirements (HIPAA)
• Experience with ML infrastructure and MLOps (model serving, monitoring, feature stores)

What We Offer

• Competitive salary and equity package
• Flexible work environment and remote options
• Comprehensive health, dental, and retirement benefits
• The chance to make a significant impact in a mission-driven startup focused on transforming patient care
• Location: NYC, SF, or Remote
• Expected Start Date: Feb 2026