Senior ML Infrastructure Engineer, Proactive
- Location
- Cupertino · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Listed
- 13 days ago
Skills & highlights for this role
- Software design
- Problem solving
- Debugging
- Machine Learning platform architecture
- Data platform architecture
- Large Language Models
- Generative AI
- Multi-threaded programming
- Synchronization
Also useful
- Production feature engineering pipelines
- Distributed data systems
- macOS development
- iOS development
Summary
The Intelligence Platform team empowers clients across Apple’s operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We’re a systems engineering team focused on building the platform which enables state of the art technologies like generative AI, graph machine learning, and private learning to be used by hundreds of teams across Apple.
This platform plays a critical role in the OS, acting as a central nervous system that is responsible for receiving, processing, responding to, and remembering crucial information. We are looking for an accomplished and driven senior software engineer with a background in designing large systems around Machine Learning, Large Language Models, and Generative AI.
Your primary role will be designing and building the platform for teams across Apple used to bring intelligence to their applications and services. Your ideas will power next generation features, and impact hundreds of millions of people worldwide in their daily lives!
About the role
As a Senior Engineer on the Intelligence Platform Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities.
Your work will include: Collaborating with teams across Apple on training, qualifying, deploying, and serving models; designing and refining systems and APIs for Machine Learning and Generative AI; understanding and adapting new model architectures to constraints of their execution environments; working with leadership across Apple to define policy.
You will be responsible for bringing industry leading research to hundreds of millions of people using Apple products every day.
Minimum Qualifications
- Excellent software design, problem solving and debugging skills
- Background architecting and building data or machine learning platforms
- Experience building on LLMs or other generative models
- Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications.
- Deep understanding of multi-threaded programming and synchronization.
Experience with distributed data systems a plus
Experience with macOS/iOS development is a plus
From Apple's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Senior ML Infrastructure Engineer, Proactive job at Apple located?
This Senior ML Infrastructure Engineer, Proactive position at Apple is located in Cupertino (On-site). Always check Apple's application page for specific state eligibility or relocation policies.
What qualifications are required for Senior ML Infrastructure Engineer, Proactive at Apple?
For the Senior ML Infrastructure Engineer, Proactive role, Apple highlights experience with Software design, Problem solving, Debugging, Machine Learning platform architecture, Data platform architecture, Large Language Models. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Senior ML Infrastructure Engineer, Proactive position at Apple?
This listing links directly to Apple's application page. You can apply directly on Apple's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.