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Salary
≈ $225k – $425k per year (Estimated)
Location
In office (Cupertino)
Seniority
Senior · 2+ years exp

First seen by Alion on Sep 27, 2026.

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.
Our team’s mission is to enhance ML powered user experiences on all Apple platforms through personalized multimodal input, composition, and understanding, with a global perspective. We achieve this daily by collaborating at the intersection of natural language processing, machine learning, and software engineering.

We are responsible for the machine learning and software (non-UI) development for several user-facing Apple Intelligence features, including Writing Tools, Summarization, Found In Apps, and Messages/Mail Smart Replies. Additionally, we oversee the keyboard machine learning and software stack, which includes autocorrection, suggestions, and inline completions.

If you’re passionate about being part of an ambitious, organized, and collaborative team that delivers user experiences with pioneering ML partnered with the best UI designs, join the Input Experience NLP team. Here, you’ll have the opportunity to transition from building groundbreaking NLP models to optimizing them for various hardware backends and user interfaces that create an enchanting experience.

Description

As a Machine Learning Research Engineer on our team, you’ll build and iteratively refine model pipelines that enable machine learning driven user experiences on Apple products. You’ll conduct experiments and create prototypes for innovative approaches to enhance the quality of our models and expand their intelligence. Additionally, you’ll implement the building blocks and infrastructure that integrate these innovations into our production pipelines and contribute evaluation metrics to measure progress.

Minimum Qualifications

MS or PhD in Computer Science or related field with at least 2 years of industry experience

Strong Python programming skills, with experience developing production-quality Python modules

Solid background in machine learning, data science, natural language processing, or statistics

Preferred Qualifications

Experience building and maintaining model pipelines end-to-end, from data curation to evaluation

Ability to design and perform experiments that bring ML and NLP research ideas to production

Familiarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG

Excellent written and verbal communication skills

History of developing in Python and / or Swift

Record of publications, innovations, and/or leadership

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