Computer Vision Engineer, Machine Learning - MSI
Apple
Computer Vision Engineer, Machine Learning - MSI
Job Description
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. 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Computer Visionintermediate
- Deep Learningintermediate
- develop and deploy scalable algorithmsintermediate
- rapid prototypingintermediate
- Intelligent Visual Inspectionintermediate
- integrate ML applicationsintermediate
- independently learn new technologiesintermediate
- prioritize tasksintermediate
- take ownershipintermediate
- present results of analysesintermediate
Required Qualifications
- 7+ years deep understanding of computer vision, machine learning and deep learning concepts. (experience, 7 years)
- Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking (experience)
- Knowledge of machine learning and computer vision libraries such as PyTorch, TensorFlow, Keras, scikit-learn, OpenCV, PIL, AutoML, is essential. (experience)
- Proven ability to implement, improve, debug, and maintain machine learning models (experience)
- Experience with handling and visualizing very large data sets and creating performance reports (experience)
- Bachelors or Masters in Computer Science, Machine Learning, or higher level degree PhD preferred (degree in masters in computer science)
Preferred Qualifications
- Self-motivated, responsible, excellent written and verbal interpersonal skills (experience)
- Experience in LLMs (experience)
- Familiarity with VLMs (and other multi-modalities) is a big plus. (experience)
- AWS ML framework experience is preferred. (experience)
- Familiar with version control systems such as Git (experience)
- Strong optimization and debugging skills (experience)
Responsibilities
- 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.
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Computer Vision Engineer, Machine Learning - MSI
Apple
Computer Vision Engineer, Machine Learning - MSI
Job Description
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. 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Computer Visionintermediate
- Deep Learningintermediate
- develop and deploy scalable algorithmsintermediate
- rapid prototypingintermediate
- Intelligent Visual Inspectionintermediate
- integrate ML applicationsintermediate
- independently learn new technologiesintermediate
- prioritize tasksintermediate
- take ownershipintermediate
- present results of analysesintermediate
Required Qualifications
- 7+ years deep understanding of computer vision, machine learning and deep learning concepts. (experience, 7 years)
- Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking (experience)
- Knowledge of machine learning and computer vision libraries such as PyTorch, TensorFlow, Keras, scikit-learn, OpenCV, PIL, AutoML, is essential. (experience)
- Proven ability to implement, improve, debug, and maintain machine learning models (experience)
- Experience with handling and visualizing very large data sets and creating performance reports (experience)
- Bachelors or Masters in Computer Science, Machine Learning, or higher level degree PhD preferred (degree in masters in computer science)
Preferred Qualifications
- Self-motivated, responsible, excellent written and verbal interpersonal skills (experience)
- Experience in LLMs (experience)
- Familiarity with VLMs (and other multi-modalities) is a big plus. (experience)
- AWS ML framework experience is preferred. (experience)
- Familiar with version control systems such as Git (experience)
- Strong optimization and debugging skills (experience)
Responsibilities
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Computer Vision Engineer, Machine Learning - MSI @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs