Machine Learning Engineer - Semantics, Apple Ads

This role requires expertise in developing, fine-tuning, evaluating, and applying large language models (LLMs) to address complex natural language processing challenges. The ideal candidate will possess practical experience in machine learning, data engineering, and prompt design to construct scalable, intelligent systems capable of understanding, generating, and reasoning with human language. Familiarity with predictive modeling, optimization, industrial engineering, demand forecasting, and time-series forecasting is advantageous. A profound comprehension of predictive models, their comparative strengths and weaknesses in specific contexts, and the ability to interpret and communicate model outcomes to diverse technical and non-technical audiences are also beneficial. Driven individuals will collaborate across various use cases, including summarization, classification, knowledge extraction, and prediction, often partnering with product and engineering teams to deploy LLM-powered solutions into production.