Computer Vision Research Engineer

hace 2 meses

Barcelona, España Apple A tiempo completo

The ideal candidate will have experience with research in computer vision, expertise with computer vision and deep learning models, and machine learning lifecycle management.
The AI Lab is responsible for bringing state-of-the-art research in Generative AI (and AI in general) to the Personal Systems (PS) product portfolio.
Stay up-to-date with the latest advancements in privacy regulations and industry trends to inform the research team.
A BS in Economics, Finance, or Business is required.
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.
Responsibilities: 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, 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++ for performance optimization and low-level vision algorithms.
Skills in optimizing model performance, including model pruning, quantization, and hardware acceleration using GPUs or TPUs.
Strong understanding of image processing techniques such as filtering, edge detection, feature extraction, and transformation.
Experience with object detection, segmentation, and classification algorithms.
Experience working in cross-functional teams.
Join us to navigate the forefront of the computer vision evolution
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