Speech Scientist Engineer

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Posted
9 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $202k
$146k most similar roles pay here $263k

This listing doesn't post a salary. Most similar roles pay $162,557–$241,750.

Based on 240 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 2202 open roles on FindRole.

Listed pay typically runs $175,000–$278,800 across 1802 roles with salary data.

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At a glance

TL;DR · Speech Scientist Engineer

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As a Speech Scientist / Engineer (Interspeech 2022), you will join teams dedicated to designing, developing, and deploying large scale services and platforms while improving speech technologies through the application of machine learning. Your daily work involves hands-on development and collaboration with various internal teams to build intelligent applications. You will apply machine learning and deep learning techniques at the intersection of several critical technical areas including speech recognition, natural language processing, multi-modal systems, TTS dialogue management, acoustic modeling, and language modeling. Additionally, you will contribute to tools development. The role requires a creative and enthusiastic approach to solving complex problems within the domain of speech technology. You must be capable of communicating effectively across multiple teams while utilizing advanced machine learning techniques to enhance core speech technologies and related software systems.

Skills

Machine Learning Deep Learning Speech Recognition Natural Language Processing TTS Acoustic Modeling Language Modeling Multi-modal Tools Development

What you'll do

  • Design, develop, and deploy large-scale services and platforms.
  • Apply machine learning and deep learning techniques to improve speech technologies.
  • Develop solutions in speech recognition and natural language processing.
  • Work on multi-modal systems and TTS dialogue management.
  • Perform acoustic modeling and language modeling tasks.
  • Build internal tools for speech technology development.

What we're looking for

  • Expertise in applying machine learning and deep learning techniques to speech technologies.
  • Experience in areas such as speech recognition, natural language processing, or acoustic modeling.
  • Skills in multi-modal systems, TTS dialogue management, and language modeling.
  • Ability to develop tools for large scale services and platforms.
  • Strong communication and collaboration skills to work with multiple teams.

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