At WHOOP, we're on a mission to unlock human performance. We are looking for a talented and passionate Software Engineer II to join our MLOps team, focusing on the development and optimization of ML cloud infrastructure. In this role, you will play a critical part in supporting our Data Science and AI teams by building robust, scalable systems for the productionalization of machine learning models.
Responsibilities
Design, develop, and maintain cloud-based infrastructure to support the deployment and scaling of machine learning models.
Implement automated pipelines for CI/CD of ML models.
Collaborate closely with Data Scientists and AI teams to facilitate model transition from prototype to production.
Develop APIs, microservices, and other components for integrating ML models into existing systems.
Leverage cloud services like AWS SageMaker, Lambda, and ECS for scalable solutions.
Support AI teams by troubleshooting model deployment and performance issues.
Stay up-to-date with latest advancements in ML infrastructure and propose improvements.
Requirements
Bachelor’s Degree in Computer Science, Software Engineering, or related field; or equivalent practical experience.
2+ years of experience in software engineering with a focus on ML infrastructure in cloud environments.
Familiarity with Cloud Computing concepts and design patterns.
WHOOP is a wearable technology company that produces a health tracker for performance, sleep, and recovery monitoring. It focuses on biometric data analysis for athletes and general fitness enthusiasts.