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Salary
≈ $228k – $500k per year (Estimated)
Location
In office (Cupertino)
Visa
H-1B filings in 12 months: 6,350 · for this role: 2,959 · green card filings: 37

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Jul 27, 2026. Apple scores B on the Alion truth index.

Overview
Company
Impact
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.

Play a part in building the next revolution in speech and machine learning technology. We're looking for passionate researchers to work on ambitious, curiosity-driven, long-term speech research projects. In this role, you'll have the opportunity to work on innovative foundational research in speech technology and machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.

Description

In this position, you will be responsible for pushing the boundaries of machine learning research, with a focus on running state-of-the-art speech models efficiently on-device. You will collaborate with researchers to push the state-of-the-art in the speech domain, specifically focusing on ASR and speech language models. You will publish your results in top conferences, making sure that your research results are reproducible and of high quality. You will prepare technical reports for publication and conference talks, and have the opportunity to collaborate with broader teams across Apple.

Minimum Qualifications

Demonstrated expertise in machine learning research

Publication record in relevant machine learning conferences (e.g., NeurIPS, ICML, ICLR, etc.) and/or relevant speech conference/Journals (e.g., Interspeech, ICASSP, ASRU, etc.)

Hands-on experience working with deep learning toolkits such as PyTorch

Strong mathematical skills in linear algebra and statistics

PhD, or equivalent practical experience, in Computer Science, or related technical field.

Preferred Qualifications

Ability to formulate a research problem and design, experiment, implement, and communicate solutions.

Ability to work in a diverse, collaborative environment

High-quality open-source contributions to related projects

Strong presentation skills for internal and external communications.

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