Sr. Machine Learning Scientist, Siri Speech

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
57 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $250k
$154k most similar roles pay here $336k

This role pays more than 80% of similar roles. Most pay $177,625–$249,750 — the shaded band above. At the midpoint, this role pays about $250k versus about $214k for comparable roles.

Based on 239 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Sr. Machine Learning Scientist, Siri Speech

As a Senior Machine Learning Scientist on the Siri Speech Team, you will collaborate with a dynamic group of engineers and scientists to innovate in natural language understanding, dialog generation, and multi-modal interaction. Your daily work involves developing cutting-edge deep learning technologies that enhance Siri’s conversational AI capabilities, ensuring seamless speech recognition and synthesis across Apple’s ecosystem. You will contribute to the advancement of state-of-the-art models for natural language processing, audio modeling, and multimodal learning, with a focus on integrating these innovations into production environments. The role requires expertise in Python and deep learning frameworks like PyTorch or TensorFlow, as well as experience in large-scale machine learning and conversational AI systems. Your contributions will significantly enhance the speech interaction experiences for millions of Apple users worldwide.

What you'll do

  • Develop and deploy advanced deep learning technologies to enhance Siri's natural language processing capabilities.
  • Tackle core challenges in dialog systems, including multi-turn context tracking and multimodal integration.
  • Advance the state of the art in speech recognition and synthesis for Apple’s ecosystem.
  • Apply cutting-edge research to improve real-world speech interaction experiences for millions of users.
  • Collaborate on large-scale machine learning training and evaluation processes.

What we're looking for

  • Demonstrated expertise in deep learning with publications in top conferences.
  • Proficient programming skills in Python and at least one deep learning toolkit.
  • Strong background in natural language processing, speech recognition, and multimodal interaction.
  • Experience applying deep learning techniques to real-world products or systems.
  • Bachelor's, Master's, or PhD in Computer Science or a related field.

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