Machine Learning Engineer
Apple
Machine Learning Engineer
Job Description
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users. Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.
Locations
- Seattle, Washington, United States 98117
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
- Computer Graphicsintermediate
- Computer Visionintermediate
- Deep Learningintermediate
- Machine Learningintermediate
- developing ML modelsintermediate
- data collection designintermediate
- data processingintermediate
- model designintermediate
- experimentsintermediate
- validationintermediate
- QAintermediate
- applied research developmentintermediate
- state-of-the-art methodsintermediate
- implement new methodsintermediate
Required Qualifications
- Software engineering skills and proficiency in Python (experience)
- Experience with PyTorch (experience)
- Independent problem solving skills (experience)
- BS degree and 10+ years of experience (experience, 10 years)
Preferred Qualifications
- Passion for delivering high quality features to large groups of diverse end-users (experience)
- Excellent communication and experience working with multi-functional teams (experience)
- Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule (experience)
- MS degree in computer vision, computer graphics, machine learning or related field (degree in computer vision)
- PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. (degree in computer vision)
Responsibilities
- Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.
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Answer 10 quick questions to check your fit for Machine Learning Engineer @ Apple.
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Machine Learning Engineer
Apple
Machine Learning Engineer
Job Description
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users. Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.
Locations
- Seattle, Washington, United States 98117
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
- Computer Graphicsintermediate
- Computer Visionintermediate
- Deep Learningintermediate
- Machine Learningintermediate
- developing ML modelsintermediate
- data collection designintermediate
- data processingintermediate
- model designintermediate
- experimentsintermediate
- validationintermediate
- QAintermediate
- applied research developmentintermediate
- state-of-the-art methodsintermediate
- implement new methodsintermediate
Required Qualifications
- Software engineering skills and proficiency in Python (experience)
- Experience with PyTorch (experience)
- Independent problem solving skills (experience)
- BS degree and 10+ years of experience (experience, 10 years)
Preferred Qualifications
- Passion for delivering high quality features to large groups of diverse end-users (experience)
- Excellent communication and experience working with multi-functional teams (experience)
- Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule (experience)
- MS degree in computer vision, computer graphics, machine learning or related field (degree in computer vision)
- PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. (degree in computer vision)
Responsibilities
- Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs