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Skills
- Appleunmatched
- Artificial Intelligence (AI)unmatched
- C++ Programming Languageunmatched
- Computer Organizationsunmatched
- Computer Visionunmatched
- Data Modelingunmatched
- Develop Methodologiesunmatched
- Leading Edge Technologyunmatched
- Machine Learningunmatched
- Modeling Languagesunmatched
- Operating Systemsunmatched
- Performance Modelingunmatched
- Performance Tuning/Optimizationunmatched
- Product Lifecycleunmatched
- Production Systemsunmatched
- Python Programming/Scripting Languageunmatched
- Swiftunmatched
- System Integration (SI)unmatched
- Systems/Internals Programmingunmatched
Description
We're starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us ship cutting edge computer vision technology on Apple devices. The Video Computer Vision org has pioneered features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apples products and bring our vision to life. As part of the Video Computer Vision (VCV) team, you will deploy purpose-built vision models on Apple devices, developing innovative techniques to optimize their performance, efficiency, and scalability on-device.Convert and integrate foundation models for on-device deployment. Evaluate power and performance of models running on Apple devices. Optimize on-device inference latency and efficiency of CV/ML models.BS and a minimum of 10 years relevant industry experience. Strong knowledge of model compression techniques such as pruning, distillation, quantization and weight clustering. Solid understanding of operating system and extensive programming experience in Python and C++. Experience working with PyTorch. Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. Foundational understanding of machine learning: MultiModal LLMs and integration of ML components into production systems.Experience with CoreFoundation, RealityKit and CoreML frameworks. Fundamental knowledge of real-time video pipelines, image transformations, and rendering loops. Programming experience with Swift.
Numbers & Facts
| Location | Sunnyvale, CA |
| Industry | Computer/IT Services |
| Company Size | 10,000 employees or more |
| Year Founded | 1976 |
| Website | https://www.apple.com/jobs |
About Company
We bring amazing people together to make amazing things happen.
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
About Apple
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.