Machine Learning Engineer, International Data Engineering
1 day ago
The Software Localization & Engineering team powers the tooling, features, and processes used to create an exceptional localized experience for Apple’s international customers. We are responsible for the readiness and high quality of Apple features internationally across all of Apple’s products. We are in search of a creative, motivated, and passionate technical leader who has a robust understanding of large language models (LLMs), generative AI, Natural Language Processing (NLP), and Machine Translation (MT). An ideal candidate has the ability to lead diverse cross-functional efforts to build the next generation of ML tooling, processes, and end-user features for international locales. Strong engineering fundamentals and a passion for this area are required.
Description
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.
Minimum Qualifications
- 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.
Preferred Qualifications
- 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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Cupertino, United States Apple Inc. Full timeMachine Learning Engineer, International Data EngineeringThe Software Localization & Engineering team powers the tooling, features and processes used to create an exceptional localized experience for Apple’s international customers. We are responsible for the readiness and high quality of Apple features internationally across all of Apple’s products. We...
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Cupertino, United States Apple Inc. Full timeMachine Learning Engineer, International Data EngineeringThe Software Localization & Engineering team powers the tooling, features, and processes used to create an exceptional localized experience for Apple’s international customers. We are responsible for the readiness and high quality of Apple features internationally across all of Apple’s products. We...
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