We are a key part of the Apple ecosystem, supporting millions of users and billions of transactions. We operate in hundreds of countries and dozens of languages. We strive to provide the best search experience for our customers.
Description
- Have a major impact on the way people search & discover Apple Media content on more than a billion active Apple devices worldwide.
- Be part of a team with strong expertise in software engineering, information retrieval, language processing, data mining, machine learning, scalable systems, and parallel processing (Hadoop, Scala, Spark).
- Be responsible for improving search recall and precision.
- Use big data technology like Hadoop, Spark, Scala to evaluate and prioritize content discovery features.
- Conduct AB Tests to ensure we pick the best winning variant.
- Ensure successful deployment of features, code, data, and models in production.
- Work in collaboration with other world-class engineers, researchers, and statisticians to ensure the features and models are functioning at or above expected performance levels.
- Work on Natural Language Processing (NLP), Tokenization, Stemming, and Lemmatization, mining synonyms, etc.
- Improve Search Recall, Text Indexing, Query Understanding, and Search Personalization
- Design & Implement solutions for automated unit and integration tests that enable continuous integration and delivery
- Support search over millions of devices globally
- On all devices (macOS, iOS, tvOS, watchOS, Siri/HomePod)
- And dozen's of languages (from Arabic to Russian and everything in between)
Minimum Qualifications
- 5+ years of relevant industry experience
- Bachelors in Computer Science or related field, Masters or PhD preferred.
- Strong programming skills in any of these Go/Scala/Python
- Experience building big data pipelines with Python, Scala, and Spark
- Experience with Machine Learning techniques and related projects
- Passion - Our customers love what we do at Apple and we want the same from our engineers
Preferred Qualifications
- Experience with Search, Machine Learning, and Large Language Models
- Deep understanding of the search and information retrieval fundamentals including text processing, auto-correction, query understanding and content retrieval
- Experience building search features
- Familiarity with A/B experimentation and data/metric-driven product development
