Applied Machine Learning Engineer

Key Skills

Aartificial intelligence, C Programming, C++, Effective communication skills, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Objective-C, Python Programming, PyTorch, Swift, TensorFlow

Job 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

• 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.

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.