Machine Learning Engineer

About

As a Machine Learning Engineer on the Apple Intelligence Platform Inference Team, you'll join a phenomenal team of top-performing engineers and will be entrusted with a range of responsibilities.

Responsibilities

• 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.

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.
• 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.