
Software Engineer, Search and RAG Applications
Required skills
- Siri
- Spotlight
- Safari
- Lookup
- Messages
- Apple apps
- real-time search
- user queries
- intent understanding
- document retrieval
Nice to have
- realtime ingestion pipelines
- search ranking
- relevance
- query understanding
- PyTorch
- TensorFlow
Role summary
Apple is seeking a Software Engineer to join the AI, Search & Knowledge Platforms team. This role focuses on developing real-time search services for Siri and other Apple products, impacting millions of users globally. You will build systems for understanding user queries, retrieving and ranking information, and generating user experiences. The position involves working with distributed systems, real-time data ingestion pipelines, and advanced search technologies, leveraging machine learning and software engineering advancements. You will collaborate with cross-functional teams to deliver innovative features and contribute to the evolution of intelligent information retrieval across Apple's ecosystem.
Description
Join our team to develop the engine that powers real-time experiences for Siri and Search for millions of users globally! As a Software Engineer, you will be responsible for ingesting and delivering exceptional user experiences. Your work will utilize distributed systems, design and manage real-time data ingestion pipelines, and develop advanced search systems. You’ll collaborate with world-class engineering, product, and design teams to create rich user experiences. These will be powered by robust, high-performance backend systems and machine learning technology to execute on our technical roadmap.
Minimum Qualifications
You want to deliver innovative new experiences to our users, and can design and build the systems to support them You have experience writing high-performance server software on Linux/Unix You are proficient in two of following languages: C/C++, Go, Python, Java, Scala BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience
Preferred Qualifications
You have experience with realtime ingestion pipelines Analyzing search ranking and relevance requirements issues and opportunities 2+ years of industry related experience, working in collaborative environments Building machine-learned models for search relevance ranking query understanding and questioning Experience with utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models You have experience with RESTful services and supporting production environments
Sample Apple interview questions
- 1
Design a typeahead box for a search engine
system designmedium - 2
Design a rate limiter
system designmedium - 3
Architect a key-value store for distributed systems.
system designmedium - 4
Design a system to schedule jobs in a distributed environment
system designmedium - 5
What is an API and how does it work?
technicalmedium
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