GenAI Engineering Lead - Apple Services Engineering

The people here at Apple don’t just create products - they create the kind of wonder that’s revolutionised entire industries!

It’s the diversity of our people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.

Join Apple, and help us leave the world better than we found it. Apple Services Engineering is responsible for App Store, iCloud, Apple Music, TV+ (and more!) and our services are the most exciting and dynamic in the world. Our teams work together to craft products and experiences that impact people’s lives in ways they could not have imagined.

We are looking for an exceptional candidate to help lead, design and deliver GenAI solutions for our Apple Services Engineering organisation.

If you are interested in driving a critical and growing part of creating top tier customer experiences, we want to hear from you!

Description
As a core member of our GenAI team, you will lead transformative progress in the application large-scale foundational models with a strong focus on bringing to life new and innovative customer experiences that delight millions of customers across the globe.

Your mission is to push the boundaries of planning, reasoning, and agentic intelligence. You will design and implement large-scale AI/ML solutions integrating the latest state of the art research in our global products.

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 Generative AI, Machine Learning and Software Engineering.

The ideal candidate will have expertise with LLMs and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture.

Preferred Qualifications
B.S, M.S. or PhD Degree in Computer Science/Engineering, or equivalent work experience
Experience working in multinational or distributed teams, especially across Europe and the U.S.
In-depth understanding of large language models (LLMs) and their application in AI-driven solutions, including inferencing, embedding, and knowledge base integration (RAG) for improved data retrieval and contextualization
Deep knowledge of LLM inference optimization techniques, including prompt tuning, caching, quantization, and latency reduction across different model families
Hands-on experience with building or fine-tuning AI agents and deploying models in production environments
Familiarity with research papers, implementing state-of-the-art methods, and adapting them to practical applications
Published research in the field of Machine Learning, AI or Computer Vision

Minimum Qualifications
Comprehensive experience leading ML/AI initiatives and teams in a fast-paced environment, particularly in generative AI, traditional ML, and knowledge graphs
Demonstrated ability to work cross-functionally and influence product development through a combination of technical leadership and user-centered thinking.
Hands-on experience designing and building GenAI platforms that allow users to experience AI applications supporting features like agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection
Strong programming skills in Python, Java, or similar languages, with an emphasis on AI/ML systems development and platform engineering. Experience with TensorFlow, PyTorch or Keras,

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.