2 months ago
Mount Laurel, NJ, USAMid Level
H1B sponsor
Responsibilities
- Train, evaluate, and deploy purpose-built video computer vision models on Apple hardware.
- Develop techniques to optimize model performance, efficiency, and scalability for on-device use.
- Write production-quality code for shipped computer vision and machine learning features on embedded platforms.
- Build and use supervised fine-tuning pipelines for vision and multimodal foundation models.
- Work across hardware, software, and AI teams to integrate ML components into complex production systems.
- Optimize models for neural network accelerators, including the Apple Neural Engine and mobile GPUs.
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, or a related discipline.
- At least 3 years of relevant industry experience.
- Strong machine learning fundamentals and understanding of multimodal large language models.
- Proven experience writing high-quality production code for shipped on-device computer vision or machine learning features deployed on embedded platforms.
- Extensive programming experience in Python and C++ and a solid understanding of operating system fundamentals.
- Hands-on experience with PyTorch and the end-to-end machine learning lifecycle.
- Experience with supervised fine-tuning pipelines for specialized on-device downstream tasks.
- Preferred: experience with Swift, CoreML, CoreFoundation, and RealityKit.
- Preferred: knowledge of real-time video pipelines, image transformations, and rendering loops.
- Preferred: experience optimizing models for neural network accelerators.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.