Machine Learning Engineer - Large Language Models & Generative AI Inference

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.

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.

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.