AIML - Sr Machine Learning Engineer - Data and ML Innovation

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$258,100 / yr
Posted
64 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $199k
$125k most similar roles pay here $272k

This role pays less than 59% of similar roles. Most pay $180,501–$246,150 — the shaded band above. At the midpoint, this role pays about $199k versus about $213k 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 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 · AIML - Sr Machine Learning Engineer - Data and ML Innovation

As a Senior Machine Learning Engineer on Apple’s Data and Machine Learning Innovation team, you will play a pivotal role in advancing multi-modal models with strong agent and reasoning capabilities. Your day-to-day responsibilities include innovating research in foundation models focused on audio data, spanning the entire ML pipeline from pre-training to fine-tuning. You will design comprehensive data generation frameworks, develop robust evaluation pipelines, and analyze multi-modal data to enhance model performance. Key tasks involve applying self-supervised learning techniques for speech recognition and speaker identification, employing active learning strategies to improve data efficiency, and modeling complex data distributions to address out-of-distribution challenges. Proficiency in Python and deep learning toolkits like PyTorch or TensorFlow is essential, along with expertise in areas such as audio processing, natural language understanding, and statistical methods. This role demands a deep technical background and the ability to rapidly learn new domains while contributing to groundbreaking research initiatives that impact billions of users globally.

What you'll do

  • Design and develop multi-modal data generation and curation frameworks for foundation models.
  • Create comprehensive model evaluation pipelines to support continuous improvement and performance assessment.
  • Analyze multi-modal data to understand its influence on model behavior and outcomes.
  • Develop self-supervised and semi-supervised representation learning pipelines for tasks like speech recognition.
  • Apply data selection techniques such as novelty detection and active learning to improve data efficiency.

What we're looking for

  • 5+ years experience developing and evaluating machine learning applications.
  • Proficiency in Python with hands-on experience using PyTorch, TensorFlow, or JAX.
  • Deep technical skills in areas like audio processing, natural language processing, deep learning.
  • Ability to design, experiment, implement, and communicate ML solutions effectively.
  • Experience working on multi-modal data generation and curation frameworks.

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