Machine Learning Engineer, Ai & Data Platform

1 Month ago • All levels • Data Analysis • $143,100 PA - $264,200 PA

Job Summary

Job Description

Machine Learning Engineers at Apple build intelligent systems to democratize AI across various solutions. They develop and deploy cutting-edge AI models and systems to improve Apple's products and services. This involves creating robust, scalable ML infrastructure for data storage, processing, and model serving. Engineers will also focus on feature engineering, data augmentation, and prompt engineering to achieve optimal performance. They'll design automated ML pipelines for data preprocessing, model training, and evaluation. Furthermore, they will implement model compression and optimization techniques. This role offers significant opportunities to impact Apple's innovations.
Must have:
  • Build intelligent systems and AI models.
  • Develop and deploy cutting-edge AI models.
  • Implement scalable ML infrastructure.
  • Develop feature engineering and data augmentation techniques.

Job Details

Our Machine Learning Engineers work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.

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