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Apple

International Engineering Lead - Intelligence Features

Cupertino, CA$184,700 – $324,800Posted Oct 10, 2026

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Why you should apply for a job to Apple:

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3.1/5 in supportive management
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65% would recommend this company to other women
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The International Intelligence Engineering team powers the tooling, features and processes used to create an exceptional international experience across Apple's intelligence features for 100s of millions of our global customers and devices.

We are looking for an experienced, motivated, technical and passionate international ML engineering leader who will drive, coordinate and deliver the next generation of end-user intelligence features for international locales across multiple platforms (iOS, macOS, watchOS, etc).

This person will be a creative, motivated, technical leader with excellent communication skills who is passionate about Apple's products and the international customer experience. This person also has a robust understanding of large language models (LLMs), Internationalization and Apple software, Models and Frameworks.

Description

As an International Engineering Lead, you will join a phenomenal team of passionate engineers and project managers to engineer, implement and evaluate international features, processes and tooling across a wide variety of Apple's products.

We are looking for an exceptional candidate to help architect the future of international intelligence features. Your role is to focus on the bigger picture and ensure we build the best globally relevant features possible.

Your duties include:

- Collaborating with feature teams to own and drive the international customer experience for intelligence features

- Providing leadership to, and helping to direct the work of team members (Engineers, Project Managers, Language Experts, Quality Engineers, etc) who will work hand-in-hand with you to drive and deliver the international customer experience

- Regularly assessing feature internationalization readiness and progress

- Authoring weekly executive status, and representing international engineering in leadership meetings

- Reviewing and driving statistical eval result improvements across locales

- Advocating for the international customer and international ML best practices in recurring cross-functional and leadership meetings

- Regularly communicating with other International Engineering Leads and project managers to seek efficiencies, drive shared best practices, tooling and data, between intelligence features

- Building tools and prototypes to help drive Intelligence features forward at scale

- Working to improve evaluation process and tooling

- Leading the exploration and application of Large Language Models (LLMs) for performing localization and internationalization tasks and tooling, in service of a great customer experience.

- Actively engaging in all aspects of intelligence feature engineering, from ideation, prototyping, training, experimentation, statistical evaluation, functional on-device qualification, through shipping.

- Mentoring other engineers and colleagues

Preferred Qualifications

Experience in software localization / internationalization

Experience adapting pre-trained LLMs for downstream tasks

Experience using GenAI to prototype solutions and data sets

Familiarity with localization standards and technologies (Unicode, XLIFF, ICU, etc.)

Fluent foreign language skills in reading, writing and speaking

Knowledge of Computational Linguistics

Experience using Xcode to build software for Apple's platforms

Proficiency with Apple's development APIs (SwiftUI, Foundation, etc.)

Deep understanding of languages and culture outside your own

Minimum Qualifications

BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)

Experience leading large cross-functional software engineering projects that have significant international impact

Experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Natural Language Processing (NLP)

Proven ability to understand, interpret, and apply cutting-edge research to consumer-oriented products

Experience influencing cross-functional and cross-culturally partners at multiple levels of an organization, including senior leadership

Experience writing crisp and effective executive status updates

Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow)

Fluency in using Generative AI tools to multiply your impact, build prototypes, data pipelines, and to scale workflows

Strong programming skills in Python, Swift, C or C++

Ability to work in a fast-paced environment with frequent context switching and changing priorities

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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