Computer Vision Backend Engineer
hace 3 semanas
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
Description
As 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.The ideal candidate will have expertise with computer vision and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture. Join us navigate the forefront of the computer vision evolution
Minimum Qualifications
- Experience in Machine Learning (ML), with a particular emphasis on Computer Vision (CV)
- Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models
- Proven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented products
- Previous experience in computer vision projects, particularly those focusing on backend integration
- Experience with TensorFlow, PyTorch or Keras
- Proficiency in Python is essential, especially with libraries such as NumPy, OpenCV, and scikit-image
- Experience with databases (SQL and NoSQL) for managing datasets.
- Understanding of APIs (REST, GraphQL) for connecting computer vision models with frontend or other backend services
- Knowledge of cloud services (AWS, Azure, Google Cloud) for deploying and managing models
- Experience with Docker and Kubernetes for containerization and deployment
- Understanding of software development best practices, version control (Git), and CI/CD pipelines.
- Experience adapting pre-trained LLMs for downstream tasks
- Knowledge of C++ is advantageous for performance optimization and working with low-level vision algorithms.
- Familiarity with research papers, implementing state-of-the-art methods, and adapting them to practical applications
- Experience working in cross-functional teams
- Experience with deploying models in production environments
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