Machine Learning Algorithm and Software Engineer
Apple
Machine Learning Algorithm and Software Engineer
Job Description
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other cutting-edge 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, robotics and health applications impacting millions of users. Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled on-device Machine Learning Engineer for developing and implementing state-of-the-art computer vision and graphics algorithms. We are actively involved in the whole feature cycle from data collection design and data processing to model training, optimization, and shipping algorithms in on-device software frameworks. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features across various Apple products, such as iOS, visionOS and watchOS. In this role, you will play a crucial role in bringing innovative features to Apple devices. You will work at the intersection of machine learning, software engineering, and hardware optimization to build high-performance, power efficient applications. We contribute to the entire feature lifecycle, from proposing novel algorithms, prototyping, validating, training ML models and tuning them to shipping software. We work closely with other ML researchers as well as data, software and hardware engineers both in internal and cross-functional teams across Apple. The ideal candidate will have a strong background in computer vision, machine learning and software development with particular expertise in implementing efficient algorithmic solutions for low power on-device applications.
Locations
- Sunnyvale, California, United States 94085
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 80,000,000 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
- Software Engineeringintermediate
- Hardware Optimizationintermediate
- Algorithm Developmentintermediate
- Data Collection Designintermediate
- Data Processingintermediate
- Model Trainingintermediate
- Model Optimizationintermediate
- On-Device Software Frameworksintermediate
- Applied Researchintermediate
- Prototypingintermediate
- Model Validationintermediate
- ML Model Tuningintermediate
- Software Developmentintermediate
- Efficient Algorithmic Solutionsintermediate
- Low Power On-Device Applicationsintermediate
Required Qualifications
- 3+ years of industry experience developing and implementing computer vision, ML, or computer graphics algorithms on-device (experience, 3 years)
- Coding skills in python and C/C++. (experience)
- Knowledge of optimizing algorithms and software for resource constrained low-power devices. (experience)
- Experience in 3D computer vision and image processing. (experience)
- BS Degree in relevant field (degree in relevant field)
Preferred Qualifications
- Familiarity with ML learning techniques such as CNN, transformers, and diffusion models. (experience)
- Proficiency in frameworks such as PyTorch or JAX. (experience)
- Strong problem solving skills with proven experience in contributing to end2end projects life cycle from data acquisition and processing, algorithm development, prototyping to shipping software at scale. (experience)
- Excellent communication and teamwork skills. (experience)
Responsibilities
- Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled on-device Machine Learning Engineer for developing and implementing state-of-the-art computer vision and graphics algorithms. We are actively involved in the whole feature cycle from data collection design and data processing to model training, optimization, and shipping algorithms in on-device software frameworks. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features across various Apple products, such as iOS, visionOS and watchOS.
- In this role, you will play a crucial role in bringing innovative features to Apple devices. You will work at the intersection of machine learning, software engineering, and hardware optimization to build high-performance, power efficient applications. We contribute to the entire feature lifecycle, from proposing novel algorithms, prototyping, validating, training ML models and tuning them to shipping software. We work closely with other ML researchers as well as data, software and hardware engineers both in internal and cross-functional teams across Apple. The ideal candidate will have a strong background in computer vision, machine learning and software development with particular expertise in implementing efficient algorithmic solutions for low power on-device applications.
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Machine Learning Algorithm and Software Engineer
Apple
Machine Learning Algorithm and Software Engineer
Job Description
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other cutting-edge 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, robotics and health applications impacting millions of users. Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled on-device Machine Learning Engineer for developing and implementing state-of-the-art computer vision and graphics algorithms. We are actively involved in the whole feature cycle from data collection design and data processing to model training, optimization, and shipping algorithms in on-device software frameworks. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features across various Apple products, such as iOS, visionOS and watchOS. In this role, you will play a crucial role in bringing innovative features to Apple devices. You will work at the intersection of machine learning, software engineering, and hardware optimization to build high-performance, power efficient applications. We contribute to the entire feature lifecycle, from proposing novel algorithms, prototyping, validating, training ML models and tuning them to shipping software. We work closely with other ML researchers as well as data, software and hardware engineers both in internal and cross-functional teams across Apple. The ideal candidate will have a strong background in computer vision, machine learning and software development with particular expertise in implementing efficient algorithmic solutions for low power on-device applications.
Locations
- Sunnyvale, California, United States 94085
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 80,000,000 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
- Software Engineeringintermediate
- Hardware Optimizationintermediate
- Algorithm Developmentintermediate
- Data Collection Designintermediate
- Data Processingintermediate
- Model Trainingintermediate
- Model Optimizationintermediate
- On-Device Software Frameworksintermediate
- Applied Researchintermediate
- Prototypingintermediate
- Model Validationintermediate
- ML Model Tuningintermediate
- Software Developmentintermediate
- Efficient Algorithmic Solutionsintermediate
- Low Power On-Device Applicationsintermediate
Required Qualifications
- 3+ years of industry experience developing and implementing computer vision, ML, or computer graphics algorithms on-device (experience, 3 years)
- Coding skills in python and C/C++. (experience)
- Knowledge of optimizing algorithms and software for resource constrained low-power devices. (experience)
- Experience in 3D computer vision and image processing. (experience)
- BS Degree in relevant field (degree in relevant field)
Preferred Qualifications
- Familiarity with ML learning techniques such as CNN, transformers, and diffusion models. (experience)
- Proficiency in frameworks such as PyTorch or JAX. (experience)
- Strong problem solving skills with proven experience in contributing to end2end projects life cycle from data acquisition and processing, algorithm development, prototyping to shipping software at scale. (experience)
- Excellent communication and teamwork skills. (experience)
Responsibilities
- Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled on-device Machine Learning Engineer for developing and implementing state-of-the-art computer vision and graphics algorithms. We are actively involved in the whole feature cycle from data collection design and data processing to model training, optimization, and shipping algorithms in on-device software frameworks. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features across various Apple products, such as iOS, visionOS and watchOS.
- In this role, you will play a crucial role in bringing innovative features to Apple devices. You will work at the intersection of machine learning, software engineering, and hardware optimization to build high-performance, power efficient applications. We contribute to the entire feature lifecycle, from proposing novel algorithms, prototyping, validating, training ML models and tuning them to shipping software. We work closely with other ML researchers as well as data, software and hardware engineers both in internal and cross-functional teams across Apple. The ideal candidate will have a strong background in computer vision, machine learning and software development with particular expertise in implementing efficient algorithmic solutions for low power on-device applications.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Algorithm and Software Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs