Sr Machine Learning Engineer, ML Systems Engineering - Proactive
Core
Design, implement, and evaluate data and machine learning systems on multimodal inputs for production systems to deliver personalized user experiences in Apple Intelligence.
Role type
Senior IC machine learning engineer (ML systems engineering)
Builds
Scalable automated processes for evaluation and monitoring of agentic machine learning applications
Domain
Consumer electronics / Agentic AI / Multimodal ML
Deliverable
production ML models
Required skills
Python programming, compiled languages (C/C++/Swift/Go/Java/Kotlin/C#/Rust), production ML system design, experiment planning, debugging and optimization of agentic applications
Preferred skills
Autonomous agentic systems training and deployment, ML pipelines with large datasets, resource constrained computing (embedded/mobile), AI agent assistance in development workflows
Technologies
Python, C, C++, Swift, Go, Java, Kotlin, C#, Rust
Responsibilities
Design and implement ML systems for multimodal inputs, plan and conduct experiments, debug and optimize agentic ML applications, establish scalable automated evaluation and monitoring processes
Seniority
Senior, hands-on IC
