Machine Learning & Analytics Software Engineer, OS Power & Performance

Apple is seeking a talented Machine Learning & Analytics Software Engineer to join their OS Power & Performance team. This role presents an exceptional opportunity to impact hundreds of millions of users by analyzing system performance data at scale.

The position combines software engineering excellence with advanced analytics and machine learning capabilities. You'll be working on critical performance aspects of Apple's products, developing sophisticated analysis tools and deriving actionable insights from complex, high-dimensional data. The role requires both technical depth and the ability to communicate effectively with diverse stakeholders across the organization.

As a team member, you'll be responsible for building and maintaining data pipelines, creating visualization dashboards, and developing machine learning models to optimize system performance. You'll work with cutting-edge technologies and have access to unique datasets that directly influence Apple's product development decisions.

The ideal candidate brings strong quantitative skills, practical machine learning experience, and software engineering capabilities. You'll need to be comfortable with ambiguity and able to translate complex technical findings into clear recommendations. The role offers excellent growth opportunities and the chance to work with some of the industry's best talents.

Benefits include comprehensive healthcare, retirement plans, stock options, and educational support. Apple's collaborative culture and commitment to innovation make this an exciting opportunity for someone passionate about combining data science with system performance optimization. The position offers competitive compensation and the chance to work on products that impact users worldwide.

This role is perfect for someone who enjoys solving complex technical challenges, has a passion for data-driven decision making, and wants to contribute to Apple's mission of creating the best user experience through optimal system performance. You'll be part of a team that values innovation, technical excellence, and the ability to deliver impactful solutions at scale.