AIML - Software Engineer, Applied Machine LearningPlay a part in the next revolution of machine learning technology! Create groundbreaking technology for large scale systems, spoken language and artificial intelligence. Work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the team that teaches Siri how to understand and speak new languages. We at Global Siri are passionate about building the future of intelligent assistants. We are looking for a Software Engineer with a strong Machine Learning background to join our team shaping the future of Siri in global markets by integrating the latest deep learning developments.
Description As a member of our dynamic and fast-paced group, you'll play a key role in crafting and bringing to life innovative solutions that delight millions of customers across the globe. You will lead work streams to design and implement large-scale ML solutions integrating the latest state of the art research in our global products to advance our customer experience. While collaborating with partner teams across Apple, you'll contribute by sharing your experience, delivering architectural proposals that account for international market needs, and maintaining an ethos of continual learning from your counterparts. This position is at the intersection of Machine Learning and Software Engineering. The ideal candidate will have expertise with large language models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture. Join us as we navigate the forefront of the language processing evolution!
Minimum Qualifications 3+ years of relevant experience.Experience writing software in Swift, Objective-C, C++ or C with experience on Apple platforms preferred.In-depth understanding of modern machine learning techniques.Preferred Qualifications Strong skills in object-oriented software design and programming.Exposure to Data Generation Approaches, LLM fine-tuning, and optimisation is preferred.Ability to formulate a research problem, design, experiment, implement and communicate solutions.M.S, Ph.D. in Computer Science or a related field, or equivalent experience.
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