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Design, build, and run large-scale backend and data infrastructure; productionize and run experiments on AI/ML models; implement MLOps best practices (versioning, monitoring, alerting); improve model accuracy, speed, and cost; and drive engineering process and culture improvements.

Build, ship, and operate backend systems and data infrastructure; develop robust business logic for health data; prototype and productionize experiments to improve AI/ML models; establish scalability, security, testing, and MLOps best practices; and iterate on engineering process and culture.

The Backend Engineer will design, build, and improve backend systems, focusing on health data processing and AI/ML model efficiency.

As a Senior iOS Engineer, you will lead feature development and architectural decisions for iOS/watchOS while mentoring other engineers and collaborating across teams to build high-quality consumer apps.

The iOS Engineer will develop features for Bevel's iOS and watchOS apps, focusing on Swift code quality, collaborating with design, and optimizing performance.