Siri helps hundreds of millions of people find the information they are looking for. A critical part of that mission is helping them quickly find and discover local businesses, places of interest, and addresses. Users rely on us for relevant and easy access to local information like finding a favorite or romantic restaurant, business hours, nearby coffee shop addresses, and directions to prominent locations.\\n\\nThe Geo domain team is redefining how hundreds of millions of people use their devices to navigate and explore the physical world around them. We are part of a wider effort to power search across a variety of Apple products - including Siri, Spotlight, Safari, Messages, and more. As part of our team, you will be using innovative machine learning techniques and LLMs in order to understand queries, rank documents, and find useful answers to users' questions. \\n\\nWe are looking for an experienced ML engineer with hands-on experience in search and recommendation and deploying powerful machine learning models at scale. You will join a team that combines strong technical skills, product vision, and a love of all things local to bring together the pieces needed to deliver an extraordinary Maps experience in Siri and Spotlight.
As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied scientists with a focus in NLP to experienced distributed systems. We are looking for candidates with both applied machine learning experience and strong engineering skills.\nThe role will have the following responsibilities:\n\n- Own the entire ML development cycle from opportunity analysis, exploration, and prototyping to data collection, feature engineering, training, evaluation, and deployment in production.\n- Lead the development of machine learning models to improve search quality across retrieval, ranking, reranking, and query understanding.\n- Improve search quality and experience by leveraging techniques such as learning-to-rank, embedding models, contrastive learning, multi-task learning, and reinforcement learning where appropriate.\n- Mentor junior engineers and provide technical leadership in architecting ML systems and designing ML models.\n- Understand product requirements, then translate them into modeling tasks and engineering tasks.
You have 8+ years of experience in information retrieval, natural language processing, machine learning, or deep learning.\nYou have a deep understanding of machine learning theory, including supervised learning, ranking models, embeddings, representation learning, and evaluation metrics. \nYou have proven ability to apply advanced ML techniques to improve search relevance and retrieval quality at scale.\nYou are comfortable leading experimentation, offline evaluation, and online A/B testing for iterative improvements in search quality.\nYou have excellent interpersonal skills, the ability to work independently as well as as part of a team.\nYou have a Master's Degree in Computer Science or equivalent experience in machine learning or a related field.
Advanced diploma in AI, Machine Learning, Computer Science, or Mathematics
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 5b569d390831d43498b14276e5574513
- Posted 15 hours ago
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