Machine Learning Engineer — Camera & Photos, Creative Foundations

Apple Inc

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $171,600–$302,200 / yr
Posted: 43 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k

This role $237k

$156k most similar roles pay here $318k

This role pays more than 69% of similar roles. Most pay $182,206–$249,750 — the shaded band above. At the midpoint, this role pays about $237k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer — Camera & Photos, Creative Foundations

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Join the Creative Foundations team as a senior Machine Learning Engineer and Researcher within Camera & Photos to innovate at the intersection of cutting-edge ML research and practical product features used by millions daily. You will design novel image understanding systems, from architectures to intelligent models that enhance user experiences in photography and visual storytelling. Your day-to-day involves rapid prototyping, translating theoretical breakthroughs into shippable features, and leveraging model introspection techniques for deeper insights. Ideal candidates have a deep background in ML frameworks like PyTorch, experience with tasks such as semantic segmentation and image captioning, and a strong portfolio of shipped models or research publications. A passion for photography and visual creativity is highly valued, along with expertise in modern architectures including transformers and diffusion models.

Skills

PyTorch Transformer Diffusion models Contrastive learning Multi-modal models Semantic segmentation Scene recognition Image captioning Visual question answering Image retrieval Python CVPR ICCV ECCV NeurIPS ICML SIGGRAPH CI/CD

What you'll do

Design and implement novel ML architectures for image understanding.
Rapidly prototype high-potential ideas into shippable features in product.
Translate state-of-the-art research advances into intelligent systems.
Use model introspection to understand and improve system behavior.
Collaborate with cross-disciplinary teams on innovative visual projects.

What we're looking for

MS or PhD in a relevant field with deep ML expertise.
Experience building and shipping machine learning models or publishing research.
Proficiency in modern ML architectures like transformers and diffusion models.
Expertise in image understanding tasks such as semantic segmentation and scene recognition.
Strong background in software engineering fundamentals.
Comfort working across the full model lifecycle using frameworks like PyTorch.
Passion for pushing ML boundaries and transforming everyday experiences.

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