Machine Learning Engineer - Semantics, Apple Ads

At Apple, we focus deeply on our customers' experience. The Apple Ads team brings this approach to advertising, helping people find what they're looking for while helping advertisers grow their businesses. As a Machine Learning Engineer in the Semantics team, you'll work on cutting-edge LLM applications that power ads across Apple Services.

The role focuses on developing and implementing large language models (LLMs) for complex natural language processing tasks. You'll be responsible for building scalable, intelligent systems that can understand, generate, and reason with human language. The position combines technical expertise in machine learning with practical application in advertising technology.

You'll work with state-of-the-art NLP technologies, applying them to real-world problems in digital advertising. The role requires strong technical skills in Python, SQL, and ML/NLP libraries, along with experience in cloud technologies and big data tools. You'll collaborate with product and engineering teams to bring LLM-powered solutions into production.

Key areas of focus include summarization, classification, knowledge extraction, and prediction. The ideal candidate will have experience in predictive modeling, optimization, and time-series forecasting. You'll need to effectively communicate complex technical concepts to both technical and non-technical stakeholders.

This is an opportunity to shape the future of advertising technology at Apple, working with a team that prioritizes user privacy and thoughtful integration of advertising experiences. You'll be part of a company that values innovation, privacy, and user experience, while helping to grow Apple's advertising platform.