Terra API is actively recruiting an Applied AI Strategist to join their health intelligence division. As a YC W21 alumnus, Terra has built a robust infrastructure for aggregating biometric data from hundreds of wearable devices and health platforms—including smartwatches, fitness trackers, and clinical systems—into a unified, normalized data layer. The new strategist will work at the intersection of applied machine learning and product strategy, designing systems that extract meaningful patterns from heterogeneous health datasets.
The position demands expertise in building production ML systems that handle real-world health data challenges: temporal series analysis, missing data imputation, and cross-device signal harmonization. Candidates should be comfortable working with APIs like OAuth-based wearable integrations, designing data transformation pipelines, and implementing feature engineering workflows that feed into downstream AI models. Experience with frameworks like TensorFlow or PyTorch for time-series forecasting, anomaly detection in biometric signals, and privacy-preserving analytics is highly valued.
This role bridges AI research and commercial deployment—you'll influence which health intelligence features Terra prioritizes, from predictive wellness modeling to clinical decision support integrations. The strategist will collaborate with their platform engineering team to optimize API response times for real-time health monitoring, implement model serving architectures, and ensure HIPAA compliance across ML inference pipelines. Understanding healthcare regulatory requirements alongside modern MLOps practices is essential.
Terra's platform processes millions of daily health data points, making this an opportunity to tackle scalability challenges in health AI while working with developers integrating Terra's REST and GraphQL APIs into consumer and enterprise applications.
