Computer Vision Software Architect
hace 4 semanas
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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