Machine Learning Systems Engineer
Core
Train, evaluate, and deploy computer vision and multimodal foundation models on Apple hardware under on-device constraints.
Role type
Senior IC machine learning systems engineer (on-device)
Builds
Shipped on-device computer vision and machine learning features for Apple embedded platforms
Domain
Consumer electronics / Computer vision / Edge AI
Deliverable
production ML models
Required skills
Python, C++, PyTorch, supervised fine-tuning pipelines, neural network accelerator optimization, data preprocessing, model evaluation, edge deployment
Preferred skills
Swift, CoreML, CoreFoundation, RealityKit, real-time video pipelines, image transformations, rendering loops
Technologies
Apple Neural Engine, mobile GPUs, PyTorch, CoreML, RealityKit
Responsibilities
Develop techniques to optimize model performance, efficiency, and scalability; Write production code for shipped on-device features; Integrate machine learning components into complex production systems
Seniority
Senior, hands-on IC
