Apple
Senior ML Infrastructure Engineer, Proactive
$175K–$325K
Cupertino, California +1 · Senior · Full-time · Posted Apr 3, 2026
- Location
- Cupertino, California
Seattle, Washington
About the job
Designs and builds machine-learning and generative-AI infrastructure that Apple teams use to bring intelligent capabilities to applications and services.
What you'll do
- Collaborate across Apple on training, qualifying, deploying, and serving models.
- Design and refine systems and APIs for Machine Learning and Generative AI; adapt model architectures to their execution environments.
- Work with Apple leadership to define policy and bring research into production applications.
What they ask for
- Excellent software design, problem-solving, and debugging skills; deep understanding of multi-threaded programming and synchronization.
- Background architecting and building data or machine learning platforms.
- Experience building on LLMs or other generative models.
- Ability to comprehend, interpret, and apply cutting-edge research to tangible applications.
Nice to have
- Experience building production feature engineering pipelines.
- Experience with distributed data systems or macOS/iOS development.
Pay
$184,700 to $324,800 USD base salary; $175,000 to $308,500 USD base salary
Tools
Machine Learning, LLMs, Generative AI, graph machine learning
AI focus
Build platform infrastructure for machine learning, large language models, generative AI, and graph machine learning; support model training, qualification, deployment, and serving.
Model-written summary · the original posting is authoritative