The Intelligence Platform team empowers clients across Apple’s operating systems with a high quality user-centric search and data platform, and the primary inference platform that enable next generation user experiences for Apple Intelligence. We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary role will involve working with our cross-functional teams that build foundation models, as well as our client teams that want to run inference using these models and continue the development of our inference stack. By contributing to our team, you’ll play an integral part in developing Siri, Photos, Music, and various other services, leaving a significant footprint on the evolution of our AI platforms. Join us in our exciting journey as we push the frontiers of Machine Learning and Generative AI. Your expertise and contributions will be invaluable in shaping the future of our Intelligence Platform.

Description

As a Machine Learning Engineer on the Apple Intelligence Platform Inference Tean, you’ll join a phenomenal team of top-performing engineers and and will be entrusted with a range of responsibilities. Your tasks will include: Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields. Translating the latest research into high-performing systems and a model serving stack that can be practically applied to enhance user experiences. Contribute to setting the team’s strategic direction, cultivating an environment that encourages innovation and professional growth. Collaborating with various teams to develop and implement evolving requirements of our clients on the GenAI inference stack, ensuring performance optimization and alignment with broader business goals.

Minimum Qualifications

In-depth experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI. Published research in the field of Machine Learning or AI is highly desirable, indicating an ability to not only understand but also contribute to cutting-edge research. Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications. Proven problem-solving and leadership abilities, with the capacity to steer the team’s research and practical applications in a collaborative and fast-paced environment.

Preferred Qualifications

An advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required Ongoing professional development in Machine Learning and Artificial Intelligence domains is expected.

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Machine Learning Engineer - Large Language Models & Generative AI Inference

Description

Minimum Qualifications

Preferred Qualifications