5 hours ago
Sunnyvale, CA, USAMid Level
H1B Sponsor
Responsibilities
- Train, evaluate, and deploy computer vision models on Apple hardware.
- Develop techniques to optimize model performance, efficiency, and scalability under on-device constraints.
- Write production code for shipped on-device computer vision and machine learning features on embedded platforms.
- Build and use supervised fine-tuning pipelines for vision and multimodal foundation models.
- Integrate machine learning components into complex production systems.
- Optimize models for neural network accelerators such as 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.
- Production programming experience with Python and C++.
- Hands-on experience with PyTorch and the end-to-end machine learning lifecycle, including data preprocessing, training, evaluation, and edge deployment.
- Experience with supervised fine-tuning pipelines for specialized on-device downstream tasks.
- Experience delivering on-device computer vision or machine learning features on embedded platforms.
- Preferred: programming experience with Swift and familiarity with CoreML, CoreFoundation, and RealityKit.
- Preferred: knowledge of real-time video pipelines, image transformations, rendering loops, and neural network accelerator optimization.
Categories
About Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own. Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.