Apple's System Scheduling Performance team is seeking a Senior Data Scientist to work on crucial resource management technologies that power every Apple platform. This role focuses on developing and optimizing background task schedulers that manage system resources efficiently across all Apple devices. You'll be working at the intersection of power, performance, and feature latency, developing solutions that consider battery life, thermals, network efficiency, and memory optimization.
As a Senior Data Scientist, you'll be responsible for analyzing high-dimensional data to derive insights and implement new capabilities for process runtime and resource utilization. This highly visible position involves developing scalable architecture for resource management and collaborating with cross-functional teams to implement new operating system concepts. The role combines data analysis, performance optimization, and systems engineering to push the boundaries of operating system capabilities.
The position offers an exciting opportunity to work on technology that powers essential features like Photo Processing, Spotlight Search, Automatic Software Updates, CloudKit Sync, and iCloud Photo Library. You'll be part of the CoreOS team, working on fundamental systems that impact millions of users worldwide. The role offers competitive compensation, including base pay, stock options, comprehensive benefits, and opportunities for professional growth.
This is an ideal position for someone who combines strong technical skills with excellent analytical and communication abilities, and who is passionate about optimizing system performance at scale. You'll have the chance to influence the future of Apple's operating systems while working with cutting-edge technology and talented teams.