Imagine what you could do here. At Apple, great ideas quickly become extraordinary products, services, and customer experiences. Bring passion and dedication to your work, and there's no telling what you could accomplish.
Do you want to make Siri and Apple products smarter for our users? The Information Intelligence 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.
Within this organization, our group focuses on web-scale extraction and enrichment, transforming raw web content into structured, high-quality knowledge that powers Apple's intelligent experiences. We design scalable extraction algorithms, develop advanced web data deduplication techniques, and apply machine learning to process trillions of records and petabytes of data. We also build and maintain Apple's Knowledge Graph, integrating diverse data sources into a unified representation of the world knowledge.
We're looking for a Machine Learning Engineer with deep expertise in large-scale data and ML infrastructure. You will build and optimize pipelines that extract, process, and serve data artifacts while advancing the ML frameworks and tooling that underpin Apple's knowledge and search systems. Join a dynamic team within Apples Information Intelligence Infrastructure organization that designs, builds, and operates large-scale systems powering search and AI experiences for billions of users. We develop distributed, data-intensive infrastructure that processes web data at global scale, enabling extraction, enrichment, and knowledge graph construction across diverse content such as HTML, PDF, and other unstructured formats.Build and optimize large-scale extraction and enrichment pipelines that transform raw web data into structured knowledge powering Siri, Spotlight, Safari, and other Apple experiences. Design pipelines that leverage large language models, advanced NLP, and entity linking frameworks to identify, deduplicate, and contextualize information from the open web. Optimize extraction infrastructure for cost, throughput, and reliability including model serving and batch ML workloads. Develop ML classifiers for data quality, deduplication, and content filtering across billions of records. Improve extraction quality to produce high-fidelity training corpora for Apples foundation models, directly improving reasoning and grounding capabilities.Bachelor's degree or higher in Computer Science or related technical field 3+ years of experience in software engineering or ML engineering Experience with Golang, Java, Scala, or Python Background in computer science: algorithms, data structures, and distributed systems Experience working in a cloud-native environment such as AWS Experience working with large-scale data processing pipelines (Spark, Cassandra, etc.) Experience with micro-service architecture in a containerized environment (Docker, Kubernetes, etc.) Experience with machine learning workflows, including feature engineering, training, evaluation, deployment and servingExperience with training and fine-tuning large language models Experience with optimizing ML training and serving performance, including GPU tuning, batch size optimization, and multi-node scheduling Familiarity with Nvidia TensorRT-LLM, vLLM, Nvidia Triton Server, or similar inference frameworks. Experience with NLP, information extraction, or web data systems. Excellent interpersonal skills, able to work independently as well as in a team
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.