Computer Vision Research Engineer
hace 2 semanas
The people here at Apple don't just create products — they create the kind of wonder that's revolutionized entire industries
It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
Join Apple, and help us leave the world better than we found it.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.
If you are interested in driving a critical and growing part of creating top tier experiences within Apple's Services, this role may be for youDescriptionAs 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.You must be comfortable working in new computer vision areas, doing research for quickly building competence and bring insights into your work.
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.
Join us navigate the forefront of the computer vision evolutionMinimum QualificationsExperience 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 VisionFamiliarity with research papers, implementing state-of-the-art methods, and adapting them to practical applicationsAbility to develop custom algorithms to solve specific computer vision problemsComprehensive knowledge and hands-on experience with fine-tuning approaches and training modelsExperience adapting pre-trained LLMs for downstream tasksExperience with TensorFlow, PyTorch or KerasProficiency in Python is essential, especially with libraries such as NumPy, OpenCV, and scikit-imageUnderstanding of software development best practices, version control (Git), and CI/CD pipelines.Preferred QualificationsKnowledge of C++ is advantageous for performance optimization and working with low-level vision algorithmsSkills in optimizing model performance, including model pruning, quantization, and hardware acceleration using GPUs or TPUsStrong understanding of image processing techniques such as filtering, edge detection, feature extraction, and transformationExperience with object detection, segmentation, and classification algorithmsExperience working in cross-functional teams#J-18808-Ljbffr
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Computer Vision Research Engineer
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Madrid, España Apple Inc. A tiempo completo.The people here at Apple don't just create products — they create the kind of wonder that's revolutionized entire industries! It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better...
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Computer Vision Research Engineer
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Madrid, España Apple Inc. A tiempo completoThe people here at Apple don't just create products — they create the kind of wonder that's revolutionized entire industries! It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better...
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