Bevel (bevel.health)

HQ
New York
13 Total Employees
Year Founded: 2023

Jobs at Bevel (bevel.health)

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13 Days AgoSaved
In-Office
New York, NY, USA
Healthtech • Software • App development
Lead the development of iOS apps, mentor engineers, optimize performance, and collaborate on product design for Bevel's growth.
3 Days AgoSaved
In-Office
New York, NY, USA
Healthtech • Software • App development
The Backend Engineer will design, build, and improve backend systems, focusing on health data processing and AI/ML model efficiency.
13 Days AgoSaved
In-Office
New York, NY, USA
Healthtech • Software • App development
As a Backend Engineer at Bevel, you will develop backend solutions, run experiments, and establish best practices for scalability and data processing.
13 Days AgoSaved
In-Office
New York, NY, USA
Healthtech • Software • App development
The iOS Engineer will develop features for Bevel’s iOS and watchOS apps using Swift and collaborate with teams to enhance user experiences and app performance.
17 Days AgoSaved
In-Office
New York, NY, USA
Healthtech • Software • App development
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.
17 Days AgoSaved
In-Office
New York, NY, USA
Healthtech • Software • App development
The iOS Engineer will develop features for Bevel's iOS and watchOS apps, focusing on Swift code quality, collaborating with design, and optimizing performance.
25 Days AgoSaved
In-Office
New York, NY, USA
Healthtech • Software • App development
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.
25 Days AgoSaved
In-Office
New York, NY, USA
Healthtech • Software • App development
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.