Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Apple Logo

Software Engineer - Applied Machine Learning & Localization

Apple

Salary not specified
Nov 9, 2025
Cupertino, CA, US
Apply Now

The Software Localization team at Apple needs to develop the next generation of ML tooling and end-user features for international locales to ensure Apple and third-party developers using Xcode can deliver world-class software products to millions of users around the world.

Requirements

  • Experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Natural Language Processing (NLP)
  • Proven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented products
  • Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models
  • Experience adapting pre-trained LLMs for downstream tasks
  • Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow)
  • Strong programming skills in Python, Swift, C or C++
  • Proficiency with Apple’s development APIs (SwiftUI, Foundation, etc.)

Responsibilities

  • Leading the exploration and application of Large Language Models (LLMs) for performing translation tasks and Apple product features
  • Translating the latest research into high-quality systems and models that can be practically applied to further improve machine translation or Apple product features
  • Actively engaging in all aspects of model development, from ideation, training, experimentation to deployment.
  • Developing and maintaining features, frameworks and tools to help facilitate the software translation process
  • design, implement and qualify localization features, processes and tooling across a wide variety of Apple’s products
  • architect the future of localizing models and machine translation

Other

  • Comfortable working cross-functionally and cross-culturally
  • Ability to work in a fast-paced environment with frequent context switching and changing priorities
  • Native-level foreign language skills in reading, writing and speaking
  • Experience or curiosity in languages and culture
  • BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)