About the Role
The role involves leading the development of AI-integrated products, working closely with clinical and technical teams to translate research into scalable tools that support personalized care delivery.
Responsibilities
- Design and deploy machine learning models for real-time health insights
- Collaborate with product managers to define AI feature requirements
- Build scalable backend systems that support AI inference and data pipelines
- Translate clinical protocols into algorithmic logic
- Evaluate model performance using real-world patient data
- Ensure compliance with healthcare data privacy standards
- Optimize model accuracy and latency for production environments
- Conduct A/B tests to measure impact of AI features
- Maintain documentation for model development and deployment
- Work with frontend teams to integrate AI outputs into user interfaces
- Monitor system reliability and model drift in production
- Participate in code reviews and technical design discussions
- Contribute to architectural decisions for AI infrastructure
- Stay current with advancements in machine learning and healthcare AI
- Support regulatory documentation for AI components
- Troubleshoot issues across data, model, and service layers
- Mentor junior engineers on AI best practices
- Align technical work with long-term product vision
- Integrate third-party health data sources into AI workflows
- Develop automated testing for model validation
- Collaborate with data scientists on feature engineering
- Refactor legacy systems to support AI capabilities
- Implement feedback loops for continuous model improvement
- Use version control for models and training pipelines
- Communicate technical trade-offs to non-technical stakeholders
Nice to Have
- Master’s or PhD in a technical field
- Healthcare domain experience
- Published work in AI or machine learning
- Experience with real-time inference systems
- Knowledge of HIPAA and data security standards
- Leadership experience in AI projects
- Familiarity with clinical decision support systems
- Experience with federated learning or privacy-preserving ML
- Contributions to open-source ML tools
- Experience in regulated industries
Compensation
Competitive salary with equity and benefits
Work Arrangement
Remote with flexible hours
Team
Cross-functional team focused on AI-driven healthcare solutions
Our Impact
- We focus on reversing type 2 diabetes and other chronic conditions through data-driven care models.
- Our AI systems help clinicians make timely, evidence-based decisions for thousands of patients.
Engineering Culture
- We value pragmatic innovation, code quality, and measurable impact.
- Engineers are encouraged to prototype, test, and iterate quickly with clinical feedback.
Available for qualified candidates
