Senior Machine Learning Scientist, Siri Speech

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
148 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $235k
This role $255k
$168k most similar roles pay here $342k

This role pays more than 70% of similar roles. Most pay $214,000–$256,950 — the shaded band above. At the midpoint, this role pays about $255k versus about $235k for comparable roles.

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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Scientist, Siri Speech

Sr. Machine Learning Scientist, Siri Speech will join the Siri organization's Speech Team to develop and deploy novel deep learning technologies that enhance conversational AI, dictation, and multi-modal interaction features. The role involves tackling core problems in dialog systems and foundation models, specifically focusing on natural language understanding, multi-turn context tracking, and the integration of speech, text, and other modalities. You will build cutting-edge infrastructure, datasets, and models to improve speech recognition and synthesis across various platforms. Candidates must possess demonstrated expertise in deep learning with a publication record or a track record of applying these techniques to products. Required skills include proficiency in Python and experience with toolkits such as PyTorch, JAX, or TensorFlow. The work focuses on the technical challenges of creating intelligent, personalized conversational experiences through advanced speech-to-speech model changes.

What you'll do

  • Develop and deploy novel deep learning technologies to improve Siri's intelligence and natural interaction.
  • Solve core problems in dialog systems, including multi-turn context tracking and natural language understanding.
  • Build infrastructure, datasets, and models for speech recognition, synthesis, and speech-to-speech capabilities.
  • Advance state-of-the-art research in speech, audio modeling, and multi-modal learning.
  • Integrate speech, text, and other modalities into unified foundation model technologies.
  • Implement data-centric approaches to train and evaluate large-scale machine learning models.
  • Translate advanced research into production-ready features for Apple's software and hardware ecosystem.

What we're looking for

  • Demonstrated expertise in deep learning with a publication record in relevant conferences or a track record of applying techniques to products.
  • Proficiency in Python programming.
  • Proficiency in at least one major deep learning toolkit such as PyTorch, JAX, or TensorFlow.
  • A Bachelor's, Master's, or PhD in Computer Science or a related discipline.
  • Experience with conversational AI or multimodal LLMs.
  • Experience with large-scale machine learning training and evaluation.
  • A data-centric vision regarding foundation models.

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