Apple · Singapore ·
Builds ML-driven solutions for Apple’s global supply chain, optimizing fulfillment and fraud detection by designing, deploying, and maintaining data pipelines and real-time decision systems in Python.
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Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that's constantly learning and having fun while solving tough business problems? We'd love to talk to you if you do!
Strategic Data Solutions empowers internal partners and optimizes the customer experience by delivering data-driven solutions across Apple — from fraud mitigation and security to supply chain optimization and fulfillment. This role is on our Fulfillment Operations team, where the enormous scale and complexity of Apple's global supply chain present exciting opportunities for applying machine learning and optimization to real-world logistics problems.
As a Machine Learning Engineer on this team, you will work with partners across Apple, sometimes using machine learning and optimization techniques to design, build, deploy, and maintain end-to-end solutions that improve operational efficiency and security, with a direct, measurable impact on the company and our customers.
Our commitment to you: We will provide challenging problems that will engage your curiosity. We will provide an organizational culture that values collaboration, problem-solving, and work-life balance. We will provide mentorship to further develop your technical and leadership skills.
Engage with stakeholders to translate ambiguous business problems into technical solutions Design data-driven solutions, balancing established techniques with custom approaches where they add value Collaborate with technical partners to implement robust real-time and batch decisioning in production Build and maintain data pipelines, distributed systems, and infrastructure that power fulfillment operations Write clean, testable, maintainable code and establish best practices for code quality and system reliability Create reporting and monitor decisioning quality to maintain operational and business metric health Communicate with stakeholders with varying technical backgrounds and business priorities about your work Share what you're learning about emerging technologies and methods to improve your team's overall technical capabilities
Artefact · Stationsplein 32, 3511 ED Utrecht