Applied AI/ML Scientist / Engineer - Health Agents

**Applied AI/ML Scientist / Engineer, Health Agents \- Vancouver, Canada** **Zoara.ai** **About Zoara** Zoara is building a privacy\-first personalized health intelligence platform powered by on\-device AI agents. Our system combines wearable data, CGM, EHR, labs, and user inputs to generate personalized, structured health inferences. **About the role** We’re looking for an **Applied AI/ML Scientist** to help design, validate, and operationalize Zoara’s health agents. This role sits at the intersection of research and product engineering, with a strong focus on experimentation, multimodal modeling, personalization, evaluation, and real\-world deployment. You will work on models that turn physiological and behavioral data into safe, structured outputs that power Zoara’s member experience. This is not a remote role and you will be working with our development team in the Vancouver office. **Responsibilities** * Design and evaluate models for Zoara’s on\-device health agents across wearable, CGM, EHR, lab, and behavioral data * Translate emerging research into practical implementations for personalized health inference under mobile and edge constraints * Define feature pipelines, training data strategy, personalization logic, and structured output schemas for agent outputs * Build experiments and evaluation frameworks for accuracy, safety, calibration, and member\-level usefulness * Work closely with product and engineering to move promising models into production mobile workflows, including on\-device inference and privacy\-preserving deployment ·      Contribute to model and dataset selection for key domains such as sleep, stress, and metabolic health **Requirements** * Strong applied ML / data science experience in time\-series, multimodal, or physiological data * Experience designing experiments, evaluation frameworks, and model quality metrics * Experience with agentic LLM systems ·      Ability to work across research and engineering, not just modeling in isolation **Nice to have:** * Experience with on\-device / edge ML, quantization, or mobile deployment * Familiarity with wearable, CGM, EHR, or lab data * Experience integrating model outputs into product systems built on JavaScript / TypeScript platforms * PHD in Applied Science or Engineering with related specialization