ML Engineer, Ai & Data Platforms

You will build and maintain ML models and pipelines that serve Apple's enterprise functions—spanning generative AI, predictive analytics, and automation. You'll own the technical delivery of ML components within broader solutions, working in a fast-paced environment where shipping matters. You'll work across the full ML lifecycle: data wrangling, experimentation, model development, and production deployment. You will be hands-on writing solid production code, debugging pipelines and iterating based on real-world feedback. You'll collaborate with cross-functional partners and business stakeholders to deliver AI and ML systems that solve real problems. Minimum Qualifications BS in Computer Science, Machine Learning, or related field or equivalent experience Strong Python engineering skills with production ML experience Hands-on experience with LLMs and generative AI systems (RAG, prompt engineering etc) Familiarity with BI concepts and foundational Generative AI concepts (LLMs, prompt engineering) Preferred Qualifications Experience with distributed data systems or large-scale data processing Familiarity with agentic frameworks (LangChain, LangGraph or similar) Experience applying data science techniques such as anomaly detection or forecasting to real business problems