Computer Vision Research Scientist

hace 4 semanas


Barcelona, Barcelona, España Apple A tiempo completo

Role Overview
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.

Key Responsibilities
As a member of our dynamic and fast-paced group, you'll work in different research areas to take new computer vision algorithms/models from prototype to production while coordinating with different teams and stakeholders. In this role, you will implement and integrate state-of-the-art deep learning algorithms/models that enable high-quality user experiences for different use cases and applications. All of this while delivering high-quality production code and working with cutting-edge technology.

Requirements
The ideal candidate will have experience with research in computer vision, expertise with computer vision and deep learning models, machine learning lifecycle management, model training & validation coupled with strong fundamentals and passion in software engineering. Key qualifications include:

  • Experience with Machine Learning (ML), with a particular emphasis on Computer Vision (CV) and Large Language Models (LLMs)
  • Published research in the field of Machine Learning, AI or Computer Vision
  • Familiarity with research papers, implementing state-of-the-art methods, and adapting them to practical applications
  • Ability to develop custom algorithms to solve specific computer vision problems
  • Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models
  • Experience adapting pre-trained LLMs for downstream tasks
  • Experience with TensorFlow, PyTorch or Keras
  • Proficiency in Python is essential, especially with libraries such as NumPy, OpenCV, and scikit-image
  • Understanding of software development best practices, version control (Git), and CI/CD pipelines

Preferred Qualifications
Knowledge of C++ is advantageous for performance optimization and working with low-level vision algorithms. Skills in optimizing model performance, including model pruning, quantization, and hardware acceleration using GPUs or TPUs, are also desirable. Experience with object detection, segmentation, and classification algorithms, as well as working in cross-functional teams, are a plus.

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