Apple is looking to enhance the localization experience for its international customers by developing the next generation of ML tooling and end-user features for international locales. This involves improving machine translation quality and ensuring that both Apple and third-party developers can deliver world-class software products globally.
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++
- Familiarity with localization standards and technologies (Unicode, XLIFF, ICU, 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.
- Collaborating with translation, localization quality, project management and engineering teams to develop and implement solutions
- 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
- BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)
- Native-level foreign language skills in reading, writing and speaking
- Knowledge of Computational Linguistics
- Published research in the field of Machine Learning or AI
- Experience or curiosity in languages and culture
