Machine Learning Engineer, Multimodal Intelligence

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$142,300–$263,300 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k
This role $203k
$128k most similar roles pay here $280k

This role pays less than 65% of similar roles. Most pay $188,712–$254,750 — the shaded band above. At the midpoint, this role pays about $203k 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 1961 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1589 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Multimodal Intelligence

Machine Learning Engineer - Multimodal Intelligence joins the Multimodal Intelligence team to build and ship computer vision and machine learning systems for Apple Intelligence. This role involves developing pipelines, infrastructure, and production systems that transform multimodal foundation models into functional features. The engineer will own end-to-end model delivery by building and scaling data curation and training pipelines, fine-tuning and optimizing large models for on-device and hybrid execution, and establishing reproducible evaluation and regression testing for text and visual understanding. Key responsibilities include hardening production systems under strict latency, memory, power, and privacy constraints. The role requires proficiency in Python and modern deep learning frameworks like PyTorch or JAX. Candidates must possess experience in deep learning with multimodal systems, including vision, language, video, or audio, while translating research into practical applications for devices that can see, read, and reason.

What does a Machine Learning Engineer earn in Washington?

Median $241750 from 63 postings across 16 companies.

See salary data

What you'll do

  • Build and scale data curation and training pipelines for multimodal foundation models.
  • Fine-tune and optimize large multimodal models for on-device and hybrid execution.
  • Establish reproducible evaluation and regression testing for text and visual understanding.
  • Develop production systems that operate under strict latency, memory, power, and privacy constraints.
  • Translate research ideas into practical, robust, and maintainable production features.
  • Build infrastructure to turn multimodal models into shipping Apple Intelligence features.
  • Implement model improvements while accounting for future hardware design and product requirements.

What we're looking for

  • Experience in deep learning with demonstrated work in at least one area of multimodal systems.
  • Proficiency in Python and a modern deep learning framework such as PyTorch or JAX.
  • Experience with rapid prototyping, reproduction, and validation of research ideas.
  • Ability to work in a collaborative environment and communicate analysis results clearly.
  • Bachelor's degree and a minimum of 3 years of relevant industry experience.
  • Master's or PhD in Computer Science, Computer Vision, Machine Learning, or a related technical field (preferred).
  • Deep expertise in multimodal foundation models with a focus on practical applications (preferred).
  • Track record of translating research into practical applications through published work or industry experience (preferred).

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