Senior Machine Learning Engineer
Build transformative AI systems that automate healthcare operations and enhance therapeutic outcomes at scale.
About the Role
As a Senior Machine Learning Engineer at Kin Therapy, you’ll architect and implement AI systems that are revolutionizing mental healthcare operations and delivery. You’ll lead the development of our proprietary LLM-powered automation platform that handles complex healthcare compliance, revenue cycle management, and clinical operations - driving operational efficiency while improving therapeutic outcomes. This role sits at the intersection of cutting-edge AI and healthcare transformation.
Key Responsibilities
- Design and implement LLM-based systems for automating complex healthcare workflows, compliance monitoring, and revenue cycle management
- Build our next-generation AI platform for automated insurance billing optimization and claims processing
- Develop machine learning models for real-time compliance monitoring and risk management
- Create intelligent automation systems for clinical documentation and regulatory reporting
- Implement advanced NLP systems for automated quality assurance and care standardization
- Scale our AI infrastructure to handle millions of healthcare transactions and interactions
- Architect privacy-preserving LLM systems that maintain HIPAA compliance
- Lead technical strategy for AI automation initiatives
- Drive innovation in applying foundation models to healthcare operations
Qualifications
Required
- MS or PhD in Computer Science, Machine Learning, or related field
- 5+ years of experience building production ML systems
- Deep expertise in LLMs, transformer architectures, and foundation models
- Strong background in implementing privacy-preserving AI systems
- Experience with healthcare data automation and workflow optimization
- Track record of building ML systems that drive significant business impact
- Expertise in Python and modern ML frameworks (PyTorch, TensorFlow)
- Strong understanding of healthcare compliance and regulatory requirements
Preferred
- Experience building systems for healthcare revenue cycle automation
- Background in scaling ML systems for enterprise operations
- Knowledge of healthcare billing systems and insurance protocols
- Experience with RAG architectures and LLM fine-tuning
- Familiarity with HIPAA, HITECH, and healthcare compliance frameworks
- Background in automated document processing and information extraction
- Experience with high-stakes ML system deployment
Tech Stack
- Advanced LLM frameworks (LangChain, LlamaIndex)
- Vector databases (Pinecone, Weaviate)
- PyTorch, TensorFlow
- AWS (SageMaker, Bedrock, Lambda)
- Kubernetes, Docker
- FastAPI, GraphQL
- PostgreSQL, Redis
Impact
Join us in building AI systems that are transforming the economics of mental healthcare delivery. Our automation platform is revolutionizing how healthcare organizations operate, dramatically reducing operational costs while improving care quality and accessibility.
Benefits
- Competitive salary and significant equity package
- Comprehensive health, dental, and vision insurance
- 401(k) with generous company match
- Unlimited PTO and paid holidays
- Executive-level professional development allowance
- Remote work flexibility
- Mental health and wellness benefits
- Conference and training budget
Location
This is an in-person role based in our New York City office, with flexible remote work options.
About Kin Therapy
We’re building the future of teen mental health care through AI-powered virtual intensive outpatient programs. Our proprietary automation platform is transforming mental healthcare economics while expanding access to care. We combine clinical excellence with cutting-edge AI to create a scalable, efficient, and high-quality care delivery system.