(ZLE89) - Computer Vision Research Engineer
hace 5 días
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 you
DescriptionAs 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 bringing 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 to navigate the forefront of the computer vision evolution
Minimum Qualifications- 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.
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