As a Machine Learning Engineer in the International Data Engineering team, you will join a phenomenal team of passionate engineers to design, implement and qualify Apple Intelligence features globally across a wide variety of Apple's products. We are looking for an exceptional candidate to help architect the future of localizing and scaling Machine Learning models and datasets. Your duties include:

• Actively engaging in all aspects of model development, from ideation, training, experimentation, evaluation to deployment
• Helping define a scalable, data driven quality program to continuously improve ML based products and features globally
• Collaborating with translation, Localization quality, project management and engineering teams to develop and scale the approach with a focus on the end user and the product quality
• Developing and maintaining features, frameworks and tools to help facilitate the software translation process

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

Hands-on experience developing end to end machine learning systems: defining and creating metrics and datasets, training models and performing error triaging

Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models

Strong programming skills in Python or other scripting languages

Hands-on experience with handling large datasets and developing data analytics pipelines for natural language based products

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

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

Experience in software Localization / internationalization

Native-level foreign language skills in reading, writing and speaking

Experience or curiosity in languages and culture, comfortable working cross-functionally and cross-culturally

Published research in the field of Machine Learning or AI