Software Development Engineer, ISE, Proactive

Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI


Weekly Hours: 40
Role Number:200174693
Have you ever received a phone call from someone you don't know, but your phone does? Booked a flight, and the event was added to your calendar for you? We are just beginning to add intelligence across the iOS, and we need your help! You will work on our full-stack, and your work will touch the lives of millions of Apple users.

Key Qualifications

  • Ability and passion to deliver extraordinary results with minimal direction
  • Ability to quickly learn and modify large, existing codebases
  • Experience in low-level software development and debugging
  • Experience shipping software with high-performance requirements
  • Experience with macOS/iOS development is a plus
  • Experience or interest in ML or NLP is a plus


You will bring your expertise and a real passion for extraordinary products into our growing team that operates like a startup within Apple. We are the team responsible for making iOS users more efficient by predicting and accelerating the user experience while respecting privacy. We collaborate with many different teams at Apple to create groundbreaking technology. You enjoy creating elegant and compelling solutions, applying innovative technology in the service of human-centered design. You will build prototypes and have a say in what features we build. You will touch various parts of our codebase: from optimizing memory and CPU usage to designing APIs, from implementing efficient data structures and minimizing IO to designing solid, testable architectures or concurrent systems. You will have an opportunity to learn from others and grow. To succeed, you are a strong problem solver with proven agility to work across multiple codebases, teams, and organizations. You will be working in the Proactive Intelligence team at Apple. Your valuable work will impact the lives of millions of Apple users worldwide.

Education & Experience

M.S. in Computer Science or equivalent practical experience.

Additional Requirements