Sr. Machine Learning Engineer, Siri Speech

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
56 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $250k
$143k most similar roles pay here $337k

This role pays more than 86% of similar roles. Most pay $186,675–$246,150 — the shaded band above. At the midpoint, this role pays about $250k versus about $216k 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 Engineer, Siri Speech

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As a Senior Machine Learning Engineer on Apple’s SWE Speech team, you will lead the development of advanced multimodal Large Language Models (LLMs) to enhance speech understanding and generation for Siri. Your day-to-day responsibilities include designing robust ML systems that enable next-generation conversational assistant features across various Apple platforms, collaborating with cross-functional teams to scale datasets and train models, and staying abreast of cutting-edge research trends in natural language processing and audio modeling. Ideal candidates possess a deep background in applied ML research, particularly in multimodal LLMs, and have hands-on experience with frameworks like JAX and PyTorch, as well as proficiency in Python. This role demands expertise in developing scalable infrastructure for high-quality datasets and models that power intelligent interactions on a global scale.

Skills

Python PyTorch JAX Multimodal_LLMs Natural_Language_Processing Speech_Generation_Understanding Reinforcement_Learning Data_Centric_Vision Foundation_Models

What you'll do

  • Develop multilingual, multimodal LLMs to enhance speech and conversational experiences globally.
  • Advance natural language processing and audio modeling techniques for Siri.
  • Design robust speech-centric systems enabling next-generation conversational assistant features.
  • Implement end-to-end solutions from data scaling to model training for ML products.
  • Stay updated with emerging AI trends and define future directions for Siri experiences.

What we're looking for

  • M.S. or PhD in Electrical Engineering, Computer Science, or related fields
  • 5+ years of experience in Machine Learning
  • Experience in developing and tuning large generative models or LLMs
  • Proficiency with machine learning frameworks like JAX and PyTorch
  • Strong programming skills in Python

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