Applied Machine Learning Engineer

Summary Posted: Sep 18, 2024 Weekly Hours: 40 Role Number: 200568047 The SWE L&RE Beijing team is looking for a passionate and driven individual who is excited to make a real impact. If you possess the skills and drive to be part of this groundbreaking initiative, we encourage you to apply! This is a unique opportunity to contribute to the development of cutting-edge AI technology, shaping the future of software development, collaborate with a talented global team of engineers and researchers and work in a fast-paced, innovative environment that encourages growth and collaboration. Description Description As an Applied ML 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 localizing ML models. Your duties are to: - Develop and deploy novel machine learning solutions using LLMs and generative AI techniques, focusing on Natural Language Processing (NLP) applications. - Build innovative ML tooling and end-user features tailored for international locales, ensuring seamless integration with our existing systems. - Collaborate with global engineering teams on the latest OS technology, contributing to the quality and efficiency of software delivery. - Remain at the forefront of advancements in large language models and generative AI, continually exploring new opportunities and solutions. - Contribute to a culture of innovation and collaboration, fostering a positive and productive team environment. Minimum Qualifications Minimum Qualifications Machine Learning (ML), with expertise in Large Language Models (LLMs) and Natural Language Processing (NLP). Programming in Python, Swift, C/C++/Objective C, at least 2 of the languages. Key Qualifications Key Qualifications Preferred Qualifications Preferred Qualifications Strong understanding of large language models (LLMs) and their application in generative AI. Proven experience in building and deploying machine learning models, ideally with a focus on NLP tasks such as text generation, translation, and summarization. Excellent knowledge of machine learning algorithms and techniques, including deep learning architectures and training methodologies. Strong engineering fundamentals, with proficiency in Python, TensorFlow, PyTorch, or other relevant frameworks. Passion for developing innovative solutions that impact the software development lifecycle. Excellent communication and collaboration skills, with the ability to effectively work within a diverse global team. Native-level English proficiency (reading, writing, speaking). A strong work ethic and commitment to delivering high-quality results. Education & Experience Education & Experience Additional Requirements Additional Requirements More