Machine Learning Engineer - Speech & Multimodal Language Modeling

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
43 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 55% of similar roles. Most pay $184,150–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $217k 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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer - Speech & Multimodal Language Modeling

Apple’s Special Projects team seeks a senior Machine Learning Engineer to develop cutting-edge multimodal features using state-of-the-art foundation language models. This role involves designing evaluation processes for multi-modal generative models, collaborating with Data Engineers to process large-scale speech audio data, and fine-tuning Large Language Models (LLMs) and Speech Language Models (SpeechLMs) to enhance performance in specific use cases. The ideal candidate will also work on defining evaluation criteria, conducting experimental designs, and performing robust statistical analysis to identify model deficiencies. Essential skills include a Master’s degree in Computer Science or Machine Learning, 2+ years of experience with generative AI models, and proficiency in Python along with ML frameworks like PyTorch or TensorFlow. Preferred qualifications involve advanced degrees, extensive experience with SpeechLMs, expertise in large-scale audio data processing, and a history of publications in machine learning journals or conferences.

What you'll do

  • Design and implement processes to evaluate and enhance multimodal generative models.
  • Process large-scale speech audio data for training foundation models with Data Engineers.
  • Fine-tune Large Language Models (LLMs) and Speech Language Models (SpeechLMs) for specific use cases.
  • Define evaluation criteria and methodology to systematically assess foundation models.
  • Conduct experimental design and robust statistical analysis to identify model deficiencies.

What we're looking for

  • Master’s degree in Computer Science or Machine Learning required.
  • At least 2 years of experience building and evaluating generative AI models.
  • Proficiency in Python and ML frameworks like PyTorch or TensorFlow.
  • Experience with Speech Language Models and Large Language Models preferred.
  • Strong statistical analysis skills for model evaluation and improvement.

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