SWE - Machine Translation Engineer - Localization - L&RE
Cork, County Cork, Ireland
Software and Services
The Software Localization team empowers software engineers around the world to provide the highest quality localized experience for Apple’s international customers. We are responsible for the localization workflows in Xcode, framework-level support for localization and internal localization tools used to create high quality localizations across all of Apple’s software. We are in search of a creative, motivated, and passionate engineer who has a robust understanding of Machine Translation (MT). An ideal candidate has the ability to lead diverse multi-functional efforts ranging from ML modelling and prototyping to validation and fine-tuning. You will demonstrate innovative NLP techniques using large language models (LLMs), generative AI, neural MT models to build the next generation of machine translation tooling for developers and translators. Strong engineering fundamentals and a passion for this area are required.
- Experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Machine Translation (MT)
- Proven track record to comprehend, interpret, and apply ground breaking 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, OpenNMT)
- Strong programming skills in Python, C or C++
As a Machine Translation Engineer in the Software Localization team, you will join a phenomenal team of passionate engineers to design, implement and qualify localization features across a wide variety of Apple’s products. We are looking for an exceptional candidate to help architect the future of machine translation using generative models. Your role is to ensure Apple and third-party developers using Xcode can deliver world-class software products to millions of users around the world. Your duties include: - Owning the exploration and application of Large Language Models (LLMs) for performing translation tasks - Translating the latest research into high-quality systems and models that can be practically applied to further improve machine translation - Actively engaging in all aspects of model development, from ideation, training, experimentation to deployment. - Collaborating with translation, localisation quality, project management and engineering teams to develop and implement machine learning solutions - Developing and maintaining features, frameworks and tools to help facilitate the software translation process. Apple’s most meaningful resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programmes vary by country and are subject to eligibility requirements. 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, colour, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.
Education & Experience
BSc, MSc or PhD in Computer Science, Artificial Intelligence, or Machine Learning or equivalent experience.