Hinge Health is looking to expand its impact beyond physical therapy into comprehensive mind-body wellness by developing innovative mental wellness solutions powered by AI. This involves creating personalized, evidence-based mental wellness experiences that adapt to individual needs, emotional states, and therapeutic progress, ultimately helping millions achieve better mental health outcomes.
Requirements
- Experience with conversational AI, dialogue systems, or chatbot development
- 3+ years of experience developing conversational or agentic AI systems using LLMs (e.g., GPT, Claude, LLaMA), including techniques such as prompt engineering, RAG, fine-tuning, or reinforcement learning
- Proven understanding of responsible AI and ethical model design, particularly within healthcare or sensitive data environments
- Experience building or deploying digital mental health or therapeutic AI applications, with familiarity in CBT, DBT, or other evidence-based modalities
- Working knowledge of mental health privacy regulations (HIPAA, state-specific laws) and secure data practices
- Proficiency in modern development and ML infrastructure (Python, TypeScript, Node.js/NestJS, vector databases, LangChain, Docker, Kubernetes, AWS services like Bedrock/SageMaker, and CI/CD pipelines)
Responsibilities
- Build next-generation therapeutic AI agents that deliver personalized CBT and PIPT interventions, ensuring clinical efficacy while maintaining engaging, empathetic user experiences.
- Architect and scale a unified education platform that intelligently serves mental health content, tracks learning progress, and personalizes educational pathways based on member needs and therapeutic goals.
- Develop the technical strategy for brain health initiatives with your product management partner and clinical stakeholders, ensuring alignment between technological capabilities and therapeutic best practices.
- Design robust AI architectures for conversational therapy bots that maintain context over multiple sessions, demonstrate emotional intelligence, and adapt therapeutic approaches based on member progress.
- Establish MLOps practices specific to mental health AI applications, including model monitoring for therapeutic effectiveness, safety guardrails, and compliance with mental health care standards.
- Drive innovation in natural language processing and affective computing to enhance the therapeutic alliance between AI agents and members.
- Collaborate with clinical teams to validate AI interventions against evidence-based therapeutic protocols and measure clinical outcomes.
Other
- Employees in hybrid roles are required to be in the office 3 days/week.
- 5+ years of experience managing teams of 5+ technologists (mix of engineers and ML researchers/scientists)
- Build cross-functional partnerships with content creators, clinical psychologists, and data scientists to create a comprehensive brain health ecosystem.
- Inclusive healthcare and benefits
- Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
