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
84 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 cutting-edge infrastructure, datasets, and models for conversational AI, dictation, and multi-modal interaction. 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 and deploy novel deep learning technologies to improve speech recognition, synthesis, and speech-to-speech experiences across various platforms. The ideal candidate possesses a publication record in relevant conferences or a track record applying deep learning to products. Required skills include proficiency in Python and experience with toolkits such as PyTorch, JAX, or TensorFlow. Preferred qualifications include experience with conversational AI, multimodal LLMs, large-scale machine learning training, and a data-centric vision for foundation models.

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.
  • Integrate speech, text, and other modalities into multimodal foundation models.
  • Build infrastructure, datasets, and models for conversational AI and dictation features.
  • Advance the state of the art in speech recognition, synthesis, and audio modeling.
  • Implement deep learning techniques to enhance Siri's capabilities across Apple’s software and hardware ecosystem.
  • Translate research innovations into production-ready features for millions of global users.

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 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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