AIML - ML Engineer, Machine Learning Platform & Infrastructure

1 Month ago • All levels • Devops • $181,100 PA - $318,400 PA

Job Summary

Job Description

The Information Intelligence Infrastructure team is building groundbreaking technology for search, natural language processing, artificial intelligence, and machine learning. This role involves working with high-performance computing environments and petabytes of data to optimize large language, vision, and speech models for Apple products. You will contribute to the backbone of Apple Intelligence, powering services like Siri, Apple Search, Apple Music, and many more, serving millions of queries daily with low latency.
Must have:
  • Experience in Machine Learning Engineering
  • Knowledge of AI and ML
  • Familiarity with NLP and search technologies
  • Ability to optimize large models
  • Experience with high-performance computing

Job Details

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 there’s no telling what you could accomplish.

Do you want to make Siri and Apple products more intelligent for our users? The Information Intelligence Infrastructure team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning. Our infrastructure is the back-bone of Apple Intelligence. It powers the largest Apple foundation models on servers and a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware.

As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at scale of Apple.

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