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Salary
≈ $181k – $390k per year (Estimated)
Location
In office (Seattle)
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Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Jul 28, 2026.

Overview
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Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

We're seeking research scientists and engineers to create breakthrough innovations in language models, machine learning, reinforcement learning, computer vision, robotics, and related areas. We are particularly interested in frontier models (including large multimodal models) and agentic workflows. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

Description

We are a team of best-in-the-world research scientists and engineers with deep experience in machine learning, computer vision, robotics, computer graphics, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:

Minimum Qualifications

Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.

Solid software engineering skills in complex, multi-language systems. Fluency in Python.

Expertise in ML algorithms and top practices for working with deep learning systems.

Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.).

Strong overall software development approach. You deliver clean, well-tested code.

Preferred Qualifications

Bachelors, Masters, or PhD Degree in Computer Science/Electrical Engineering or equivalent academic or professional experience.

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