Machine Learning Engineer, Web Indexing Team

Imagine what you could do here. At Apple great ideas have a way of becoming great products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could you want to make Siri and Apple products smarter for our users The MLPT u0026 Infrastructure teams are building groundbreaking technology for algorithmic search machine learning natural language processing and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products including Siri Spotlight Safari Messages and part of this group you will work within one of the most exciting high-performance computing environments with petabytes of data and millions of queries per second and have the opportunity to imagine and build products that delight our customers every single day.

We design and build infrastructures to support features that empower billions of Apple users through advanced intelligence systems. Our team processes trillions of links to find the best content to surface to users via search and other intelligent features. We also analyze pages to extract critical features for indexing ranking and retrieval. We apply statistical analysis to enhance link selection content freshness retrieval rates and extraction quality among many other aspects. Furthermore we are building a generic Retrieval-Augmented Generation (RAG) indexing infrastructure framework to allow indexing building customization and support fast experiment iteration. Youll have the opportunity to dive deeper into RAG systems as well as large-scale data processing managing trillions of records petabytes of data and the incredible complexity behind Apple Intelligences products.

Design build and scale infrastructure systems that support intelligent features powering billions of Apple usersnProcess and analyze trillions of links to surface the highest quality content across search and other intelligent featuresnDevelop pipelines to extract critical features for indexing ranking and retrieval at massive scalenApply statistical analysis to improve link selection content freshness retrieval rates and extraction qualitynArchitect and contribute to a generic Retrieval-Augmented Generation (RAG) indexing infrastructure framework enabling indexing customization and fast experimentationnPartner cross-functionally with machine learning NLP and product teams to deliver impactful high-quality solutionsnMentor and provide technical guidance to junior engineers on the team

7 years of software engineering experience with a strong focus on large-scale distributed systems or infrastructurenStrong coding proficiency in one or more languages (e.g. Python Java Go C)nSolid foundation in computer science fundamentals including algorithms and data structuresnHands-on experience with large-scale data processing and MapReduce-style frameworks (e.g. Spark Hadoop)nExperience with cloud services particularly AWS (S3 EC2 EKS) and/or Kubernetes-based orchestrationnProven ability to operate independently and drive projects end-to-end in a collaborative team environmentnMS or PhD in Computer Science or a related field or equivalent practical experience

10 years of software engineering experience with demonstrated impact at a senior or staff levelnExperience designing and building RAG systems or other AI/ML indexing pipelinesnBackground in machine learning natural language processing or information retrievalnExperience managing systems operating at petabyte scale with trillions of recordsnStrong communication skills with a track record of influencing technical direction across teamsnMS or PhD in Computer Science or a related field or equivalent practical experience