The people here at Apple don't just create products — they create the kind of wonder that's revolutionized entire industries!
It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
Join Apple, and help us leave the world better than we found it.
Apple's Internet Services - App Store, iCloud, Apple Music, TV+, and many more - are the most exciting and dynamic in the world.
Our teams work together to craft products and experiences that impact people's lives in ways they could not have imagined.
We are looking for an exceptional candidate to design and implement solutions for complex computer vision challenges in Internet Services.
If you are interested in driving a critical and growing part of creating top tier experiences within Apple's Services, this role may be for you!
DescriptionAs a member of our dynamic and fast-paced group, you'll play a key role in crafting and bringing to life innovative solutions that delight millions of customers across the globe.
You will design and implement large-scale CV/ML solutions integrating the latest state of the art research in our global products to enhance our customer experience.
While collaborating with partner teams across Apple, you'll contribute by sharing your experience, delivering architectural proposals that account for international market needs, and maintaining an ethos of continual learning from your counterparts.
This position is at the intersection of Computer Vision, Machine Learning and Software Engineering.
Minimum QualificationsExperience in Machine Learning (ML), with a particular emphasis on Computer Vision (CV)Comprehensive knowledge and hands-on experience with fine-tuning approaches and training modelsProven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented productsPrevious experience in computer vision projects, particularly those focusing on backend integrationExperience with TensorFlow, PyTorch or KerasProficiency in Python is essential, especially with libraries such as NumPy, OpenCV, and scikit-imageExperience with databases (SQL and NoSQL) for managing datasetsUnderstanding of APIs (REST, GraphQL) for connecting computer vision models with frontend or other backend servicesKnowledge of cloud services (AWS, Azure, Google Cloud) for deploying and managing modelsExperience with Docker and Kubernetes for containerization and deploymentUnderstanding of software development best practices, version control (Git), and CI/CD pipelines
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