Hinge Health is looking to expand its digital health offerings beyond physical therapy into comprehensive mind-body wellness by developing innovative, AI-powered therapeutic interventions for mental health. This role is critical for building agentic AI systems for Cognitive Behavioral Therapy (CBT) and Process-Interpersonal Psychotherapy (PIPT) experiences, and architecting a unified education service to improve mental health outcomes for millions.
Requirements
- 8+ years of non-internship full time professional software engineering experience, with at least 2 years working on AI platforms, machine learning systems, or data infrastructure
- 2+ years of experience in Python (for AI-related work) and Typescript-NestJS (for cloud microservice work)
- 2+ years of experience with cloud platforms and containerization tools
- 2+years of experience working in distributed systems, microservices architectures, and large-scale data processing
- Experience building and maintaining end-to-end AI/ML platforms or services in a cloud environment
- Knowledge of infrastructure-as-code tools like Terraform or CloudFormation
- Familiarity with data engineering practices and tools (e.g., Spark, Kafka, ETL pipelines)
Responsibilities
- Build and iterate on next-generation therapeutic AI agents that deliver personalized CBT and PIPT interventions with clinically sound, empathetic user experiences.
- Architect and scale a unified brain health education platform that personalizes content delivery, tracks progress, and adapts to therapeutic goals.
- Design scalable AI architectures for multi-session conversational therapy agents that maintain context, demonstrate emotional intelligence, and adjust interventions based on member progress.
- Establish and evolve MLOps practices tailored to mental health AI, including model evaluation, therapeutic effectiveness monitoring, and safety guardrails.
- Optimize system performance and maintain fault-tolerant, scalable infrastructure capable of supporting high-growth AI workloads, while continuously evaluating emerging technologies to improve the platform.
- Collaborate with clinical experts to ensure AI interventions align with evidence-based therapeutic protocols and drive measurable clinical outcomes.
- Build and iterate on next-generation therapeutic AI agents that deliver personalized CBT and PIPT interventions with clinically sound, empathetic user experiences.
Other
- Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day.
- Define and guide the technical strategy for brain health initiatives in partnership with product, clinical, and engineering leadership.
- Build strong cross-functional partnerships across content, clinical psychology, data science, and platform teams to deliver a cohesive brain health ecosystem.
- 2+ years of experience in mentoring and leading junior team members, collaborating effectively with cross-functional teams, and contributing to project planning and decision-making
- Excellent communication skills, both written and verbal, with the ability to collaborate across teams and explain technical concepts to non-technical stakeholders
