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Applied machine learning engineer, developer publications

London
Machine learning engineer
Posted: 21 August
Offer description

As an Applied ML Engineer in the Developer Publications Intelligence team, you will join a multi-discipline team of passionate engineers to design, fine-tune, and produce models that will be used by existing and future tools produced by Apple for third-party developers. We are looking for exceptional candidates to help define the future of Swift code generation in our tools and beyond. Your role is to ensure Apple and our third-party developers using Xcode deliver extraordinary software products to millions of customers around the world! Your duties will include: - Fine-tuning models and making them available for engineers to evaluate and define further experiments - Actively engaging in all aspects of model development, from ideation, training, experimentation to deployment - Collaborating with data collection, model evaluation, and tool integration teams to develop and implement model solutions - Developing and maintaining frameworks and tools to help facilitate the model fine-tuning process. Proficiency using open-source ML toolkits and frameworks (e.g., PyTorch, TensorFlow, OpenNMT) Strong programming skills (Python, C/C++, Swift, or other language) Comprehensive knowledge and hands-on experience with fine-tuning approaches, model recipes, and training models. Comprehensive knowledge and hands-on experience with fine-tuning approaches, model recipes, and training models BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience) Experience with Machine Learning, with a particular focus on Large Language Models (LLM) that generate code Experience adapting re-trained LLMs for downstream tasks Proficiency with Apple’s development APIs (SwiftUI, Foundation, etc)

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