This role pays more than
80%
of similar roles. Most pay
$197,631–$257,237
— the shaded band above.
At the midpoint, this role pays about
$267k
versus about
$227k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
As the On-Device ML Engineering Manager (Tools & Services), you will lead a diverse team focused on building infrastructure that makes on-device machine learning performance measurable, understandable, and improvable. You will manage engineers developing frontend web services for model introspection, backend services, and an on-device toolchain designed to gather low-level performance data and associate it with high-level PyTorch framework operations. The role involves overseeing the infrastructure required to run ML inference across fleets of devices while improving the iterative workflow from model authoring to performance profiling. You will utilize skills in Python, Swift, Objective-C, or C/C++ to support tools involving Core ML, Win ML, ONNX, TF Lite, ExecuTorch, and MLIR or LLVM compiler technologies. This role solves critical problems in the research-to-production lifecycle for on-device machine learning models across various hardware platforms.
Python
C++
Swift
MLIR
PyTorch
Machine Learning
Compiler Optimization
GPU
CPU
Neural Engine
Model Compression
Profiling
Benchmarking
System Software Engineering
Python
Machine Learning
Model Predictive Control
Reinforcement Learning
Optimal Control
Data Analysis
Firmware
Sensor Data
Battery Management
Prototyping
MLIR
C++
PyTorch
Swift
GPU
Neural Engine
Compiler Optimization
Machine Learning
Model Compression
System Software Engineering
Profiling
Debugging
Benchmarking