Computer Vision Software Architect

hace 4 semanas


Barcelona, Barcelona, España Apple Inc. A tiempo completo

Computer Vision Role Overview

We are seeking a skilled Computer Vision Backend Engineer to join our team at Apple Inc. The ideal candidate will have expertise in designing and implementing large-scale computer vision solutions integrating the latest state-of-the-art research in our global products to enhance our customer experience.

Key Responsibilities

  • Design and implement computer vision models and algorithms for various applications
  • Collaborate with cross-functional teams to integrate computer vision solutions into our products
  • Develop and maintain high-quality software code for computer vision systems
  • Stay up-to-date with the latest advancements in computer vision research and apply them to our products

Requirements

  • 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
  • Proficiency in Python, 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

Preferred Qualifications

  • Experience adapting pre-trained LLMs for downstream tasks
  • Knowledge of C++ 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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