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As a Staff Software Engineer at WHOOP, you will develop and maintain backend services, tackle scaling issues, and mentor junior engineers. You'll lead backend engineering efforts, ensuring scalability and reliability in high-availability systems while collaborating with cross-functional teams and establishing best practices.

As a Senior Software Engineer in MLOps at WHOOP, you will develop and maintain cloud-based infrastructure for deploying and scaling machine learning models. Collaborate with Data Science teams to build automated pipelines and APIs, ensuring optimized performance and reliability of ML systems in production. You will also troubleshoot technical challenges and stay updated on the latest advancements in ML infrastructure.

As an IT Application Engineer at WHOOP, you will support and troubleshoot internal applications, monitor performance, and lead platform consolidation projects. You will ensure security and RBAC compliance, develop automation processes, manage software licenses, and liaise with vendors. Additionally, this role requires ongoing maintenance of on-premises servers and participation in on-call rotations.

The Staff R&D Engineer will lead the design and development of biometric wearable devices, utilize data analytics for system validation, and mentor junior engineers. Responsibilities include advanced data processing, circuit design, prototyping, test strategy, and cross-functional collaboration to drive technical decisions.

The Mechanical Engineer will enhance production yields and stable manufacturing, develop new accessory products, collaborate with suppliers and contract manufacturers for quality improvement, and manage documentation and changes in mechanical designs, conducting testing and analyses.

As a Senior Software Engineer (DevOps) at WHOOP, you will manage Kubernetes clusters and drive architectural improvements for infrastructure. You will enhance deployment safety and efficiency while mentoring junior engineers and shaping team direction.

The Staff Data Science Tech Lead will develop and implement machine learning algorithms using large-scale models to analyze WHOOP data for health and fitness insights. Responsibilities include mentoring junior scientists, collaborating with clinical teams, and maintaining production services in partnership with MLOps engineers.