Machine Learning Engineer - Large Language Models & Generative AI Inference

Apple • Cupertino, CA

18h

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees