Summary
Experience in applying machine learning in information retrieval domain such as search engines, natural language processing, or similar areas.
Key Qualifications
The goal of the Maps Search team is to take Apple’s Maps to the next level of intelligence and accuracy using advanced machine learning and artificial intelligence techniques. Engineers and scientists on this teamwork on a wide spectrum of approaches in improving search experience on Apple Maps. You would work on applied natural language processing algorithms to understand user query and intent. You would work on applied machine learning algorithms and models that help improve search relevance and experience. You would also work on developing scalable tools and platform foundations that enable other engineers and scientists to develop, evaluate, and release algorithms, models, and features quickly. They impact millions of users by developing a phenomenal product with a prime focus on the accuracy, quality, and performance of the product.
This position involves a wide variety of skills and innovation and is a unique opportunity that sits at the cutting-edge of machine learning and natural language understanding. Ultimately, your work would have a huge impact on millions of users across the globe.
Description
Apple Maps are being used by millions of users every single day and powers thousands of applications. As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. As a part of the Apple Maps search team, you will play a big part in the next revolution in maps to enable users to find things in maps by working in a high-performing and collaborative environment. You will have plenty of opportunities to create groundbreaking technologies using machine learning and deep learning at scale to improve the search quality for Apple Maps.
Education & ExperienceBS/MS in Computer Science or equivalent. Ph.D. preferred.
Job ID #1100159
