Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Strategic Data Solutions at Apple empowers internal partners and optimizes customer experience by delivering data-driven solutions that mitigate fraud, improve security, and optimize efficiency. Our work touches all parts of Apple, from manufacturing to fulfillment to apps and services.
As an SDS Machine Learning Engineer, you will work with teams across Apple, using data analysis and predictive modeling techniques to define, build, deploy, and maintain end-to-end operational solutions. You'll tackle challenging problems that engage your curiosity in an organizational culture that values collaboration, problem-solving, and work-life balance.
Key responsibilities include translating business problems into technical solutions, designing and implementing data science solutions, monitoring decision quality, investigating trends, and communicating effectively with stakeholders. You'll work with cutting-edge technologies in machine learning, data engineering, and software engineering while contributing to solutions that have direct impact on Apple's operations and customers.
The role requires strong technical skills in machine learning, programming (Python/Scala/Java), and data analysis (SQL), combined with excellent communication and collaboration abilities. You'll be part of a supportive team that's constantly learning and solving tough business problems while maintaining high standards of quality and efficiency.
Join us to work on large-scale data challenges that affect all aspects of Apple's business, from manufacturing to customer experience, while receiving mentorship to develop both your technical and leadership skills in an environment that values innovation and work-life balance.