Computer Vision Backend Engineer

hace 6 días


Barcelona, Barcelona, España Apple Inc. A tiempo completo
Computer Vision Engineer at Apple Inc.

We are seeking a skilled Computer Vision Engineer to join our team at Apple Inc. in a key role that involves designing and implementing large-scale CV/ML solutions for our global products.

As a member of our dynamic and fast-paced group, you will 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 will 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.

  • 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


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