AIML - Sr. Full Stack Engineer, Compute Capacity and Efficiency - ML Platform Technologies
Would you like to make significant impact on Apple’s large-scale serverless platform? We design and build compute infrastructure that empowers development on Apple Intelligence, AIML research and enterprise algorithms that drive the company.
As a senior engineer in Capacity and Efficiency team within AIML, you will build systems that ensure compute resources are optimally distributed throughout the company. This includes developing demand and capacity planning system, driving innovation in forecasting, optimization and supply chain management tooling that work at scale, distilling complex data into easy-to-interpret and low-latency visualizations that guide strategies, and engaging cross-functionally with finance analysts, supply chain managers, data center operations, compute infra engineers and more. Our team works in an iterative and fast-paced environment, and we’re passionate about learning new technologies and knowledge sharing. If the opportunity to learn and build services that scale, stay highly available and "just work" excites you, then please reach out to us!
- 5+ years of experience with Bachelor’s degree or higher in Engineering, Mathematics, Economics or a related quantitative field
- Must have strong CS fundamentals
- Experience working with modern web frameworks like React
- Comfortable with RESTful APIs and storage technologies e.g. S3, Trino, PostgreSQL, Elasticsearch
- Excellent problem-framing and problem-solving skills
- Familiarity with Enterprise Resource Planning (ERP) systems
- Experience developing machine learning models
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