Description
Senior ML Engineer
Team: Engineering
Location: New York City
Commitment: Full-Time
Workplace Type: hybrid
Salary:
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
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