Apple
Computer Vision Engineer, Machine Learning - MSI
Apple, Cupertino, California, United States, 95014
Weekly Hours:
40
Role Number:
200605196-0836
Summary
Imagine what you could do here. At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. It takes deeply dedicated, intelligent and hard-working individuals to maintain and exceed the high expectations for the exciting iPhone brand at Apple.
The iPhone Operations Data Team is looking for an extraordinary Machine Learning Engineer specialized in Computer Vision and Deep learning to join our team. You will craft, design and implement our machine learning strategy to the massive iPhone, Mac, iPad supply chains and help build the future of our manufacturing systems.
Description
Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms.
Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.
Work with resources in cross-functional teams and the factory to integrate ML applications.
Abilities to independently learn new technologies; prioritize tasks and take ownership; and meaningfully present results of analyses in a clear and impactful manner.
Minimum Qualifications
7+ years deep understanding of computer vision, machine learning and deep learning concepts.
Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking
Knowledge of machine learning and computer vision libraries such as PyTorch, TensorFlow, Keras, scikit-learn, OpenCV, PIL, AutoML, is essential.
Proven ability to implement, improve, debug, and maintain machine learning models
Experience with handling and visualizing very large data sets and creating performance reports
Bachelors or Masters in Computer Science, Machine Learning, or higher level degree PhD preferred
Preferred Qualifications
Self-motivated, responsible, excellent written and verbal interpersonal skills
Experience in LLMs
Familiarity with VLMs (and other multi-modalities) is a big plus.
AWS ML framework experience is preferred.
Familiar with version control systems such as Git
Strong optimization and debugging skills
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
40
Role Number:
200605196-0836
Summary
Imagine what you could do here. At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. It takes deeply dedicated, intelligent and hard-working individuals to maintain and exceed the high expectations for the exciting iPhone brand at Apple.
The iPhone Operations Data Team is looking for an extraordinary Machine Learning Engineer specialized in Computer Vision and Deep learning to join our team. You will craft, design and implement our machine learning strategy to the massive iPhone, Mac, iPad supply chains and help build the future of our manufacturing systems.
Description
Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms.
Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.
Work with resources in cross-functional teams and the factory to integrate ML applications.
Abilities to independently learn new technologies; prioritize tasks and take ownership; and meaningfully present results of analyses in a clear and impactful manner.
Minimum Qualifications
7+ years deep understanding of computer vision, machine learning and deep learning concepts.
Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking
Knowledge of machine learning and computer vision libraries such as PyTorch, TensorFlow, Keras, scikit-learn, OpenCV, PIL, AutoML, is essential.
Proven ability to implement, improve, debug, and maintain machine learning models
Experience with handling and visualizing very large data sets and creating performance reports
Bachelors or Masters in Computer Science, Machine Learning, or higher level degree PhD preferred
Preferred Qualifications
Self-motivated, responsible, excellent written and verbal interpersonal skills
Experience in LLMs
Familiarity with VLMs (and other multi-modalities) is a big plus.
AWS ML framework experience is preferred.
Familiar with version control systems such as Git
Strong optimization and debugging skills
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .