Machine Learning Engineer, Search & AI

As a Machine Learning Engineer at Apple, you will be a part of the Information Intelligence team, revolutionizing how billions of people interact with their devices to search and find what they are looking for. Your role is critical in developing world-class Search and Q&A experiences for Apple customers using cutting-edge search technologies and large language models. Key Responsibilities: - Collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking - Develop fundamental building blocks needed for AI powered experiences such as fine-tuning and reinforcement learning - Push the boundaries on document retrieval and ranking, develop sophisticated machine learning models, use embeddings and deep learning to understand the quality of matches - Utilize online learning to react quickly to change and natural language processing to understand queries - Work with petabytes of data and combine information from multiple structured and unstructured sources to provide best results and accurate answers to satisfy users" information-seeking needs Qualifications Required: - 7+ years experience in shipping Search and Q&A technologies and ML systems - Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go - Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality - Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy - Excellent communication skills and ability to work in a collaborative research environment - Passion for building phenomenal products and curiosity to learn Preferred Qualifications: - Background in Search Relevance and Ranking, Question Answering systems, Query Understanding, Personalization or Recommendation systems, or data-informed decision-making - Hands-on experience in Retrieval Augmented Generation, including developing, evaluating and enhancing for both retrievers and generative LLMs - MS in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field,