Do you love solving complex problems with direct impact? Strategic Data Solutions at Apple empowers internal partners and optimizes customer experience through data-driven solutions that mitigate fraud, improve security, and optimize efficiency. Our work touches all aspects of Apple, from manufacturing to fulfillment to apps and services.
As an SDS Machine Learning Engineer, you'll work across Apple teams using data analysis and predictive modeling to build and maintain end-to-end operational solutions. You'll tackle challenging problems that engage your curiosity in an organizational culture valuing collaboration, problem-solving, and work-life balance.
The role involves translating business problems into technical solutions, designing and implementing robust decisioning systems, monitoring solution quality, and investigating trends. You'll work with cutting-edge technologies while collaborating with diverse stakeholders to deliver impactful solutions.
Key responsibilities include developing machine learning solutions, implementing data science applications, creating monitoring systems, and sharing knowledge about novel technologies. You'll need strong technical skills in Python/Java/SQL, practical ML deployment experience, and excellent communication abilities.
We offer mentorship to develop your technical and leadership skills, challenging problems that will engage your curiosity, and a collaborative environment that values work-life balance. Join us in using data science to solve complex challenges that directly impact Apple's products and services.