About The Position

We are looking for engineers passionate about using machine learning to build and maintain multiple machine learning products that power Siri. In this highly accomplished, deeply technical, and close-knit team of machine learning specialists, software engineers, and infrastructure experts, you will build products that are used by millions of people. You will have the opportunity to contribute to exciting projects around Apple and use your data science, machine learning, and analytical skills to tackle challenging technical problems and ship novel products that will delight our customers! Join a critical team at the heart of speech model development. Our team is responsible for creating the high-quality, large-scale datasets that power Apple's next-generation speech models. We specialize in the automatic annotation and extraction of rich metadata from vast audio datasets, enabling groundbreaking advancements in speech understanding and generation. We are a data-driven team that combines machine learning, data science, and efficient engineering to solve complex challenges at petabyte scale.

Requirements

  • Experience with foundation models.
  • Experience with large scale data processing (e.g., Spark, Dask, Ray) and a mindset for writing efficient, scalable code.
  • Understanding of machine learning fundamentals and practical experience with ML frameworks (e.g., PyTorch, TensorFlow).

Responsibilities

  • Design, build, and refine systems that turn raw audio into structured, insight-rich data for modeling partners.
  • Develop pipelines for data processing and analyze data quality and impact.
  • Improve specialist models that enable automatic annotation.
  • Contribute to shipping models/products to production.
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