Machine Learning Engineer - Vision Products Software

Apple Inc

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$181,100–$318,400 / yr
Posted
69 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k
This role $250k
$154k most similar roles pay here $336k

This role pays more than 80% of similar roles. Most pay $194,500–$249,750 — the shaded band above. At the midpoint, this role pays about $250k versus about $222k 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 · Machine Learning Engineer - Vision Products Software

As a Machine Learning Engineer at senior level on the Vision Products Software team, you will design and implement machine learning models and algorithms that power conversational understanding, generation, and personalization features. Your day-to-day involves rapid prototyping of new model architectures, collaborating with researchers and engineers to integrate these into production frameworks used at scale across Apple’s platforms. You’ll contribute to end-to-end ML pipelines from data exploration through deployment, ensuring your work meets high standards for reliability and privacy. Proficiency in Python, PyTorch, and experience with multimodal models are essential, as is familiarity with ranking and personalization algorithms. This role requires strong communication skills and a product-oriented mindset to help shape the technical direction of next-generation AI capabilities at Apple.

What you'll do

  • Design and implement ML models for conversational understanding, generation, and personalization.
  • Rapidly prototype new model architectures and evaluate their performance.
  • Translate research ideas into production-ready systems, ensuring smooth integration across teams.
  • Contribute to end-to-end ML pipelines from data exploration to deployment.
  • Write clean, maintainable code that meets Apple’s high production standards.
  • Participate in architecture discussions and peer code reviews to enhance technical direction.

What we're looking for

  • PhD + 3 years or MS + 5 years of relevant experience in AI/ML, CS, EE fields
  • Expertise in deep learning, natural language processing, and multimodal models
  • Hands-on experience with modern generative AI systems and computer vision models
  • Proficiency in Python and familiarity with ML frameworks like PyTorch/TensorFlow
  • Experience integrating machine learning models into production systems
  • Strong communication skills for cross-disciplinary collaboration

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