At Apple, the Strategic Data Solutions team is seeking a Machine Learning Engineer to drive data-driven solutions that impact fraud mitigation, security improvement, and efficiency optimization. This role touches all aspects of Apple's operations, from manufacturing to fulfillment to apps and services.
As an SDS MLE, you'll collaborate with cross-functional teams to analyze data and build predictive models that deliver measurable business impact. You'll be responsible for defining, building, deploying, and maintaining end-to-end operational solutions that directly affect the company and customers.
The role offers exciting opportunities to work with enormous scale and complex data problems, pushing the boundaries of existing data science methods. You'll engage with stakeholders to translate business challenges into technical solutions, implement robust decisioning systems, and monitor their performance.
Apple provides a collaborative culture that values problem-solving and work-life balance. You'll receive mentorship to develop both technical and leadership skills while working on challenging problems that engage your curiosity. The team emphasizes knowledge sharing and continuous learning about novel technologies in data science, machine learning, and software engineering.
The ideal candidate combines strong technical skills in machine learning and programming with excellent communication abilities to translate complex concepts into business-focused solutions. You'll work in an environment that encourages innovation and provides direct access to impactful projects across Apple's ecosystem.