AIML - Machine Learning Engineer, Foundation Models
Apple
AIML - Machine Learning Engineer, Foundation Models
Job Description
Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We're seeking skilled Machine Learning Engineers to transform cutting-edge research into scalable, production-ready AI solutions. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products. Apple Foundation Model Team are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for MLEs who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight billions of users with Apple products powered by foundation models. We are looking for an exceptional Machine Learning Engineer to design, develop, and deploy foundation models that drive intelligent features across Apple's product portfolio. You will bridge the gap between research and production, transforming advanced AI concepts into robust, performant systems that enhance user experiences.
Locations
- Cupertino, California, United States 95014
- New York City, New York, United States 10022
- 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
- Machine Learning Engineeringintermediate
- Deep Learningintermediate
- Building Scalable AI Solutionsintermediate
- AI Model Developmentintermediate
- Foundation Model Designintermediate
- AI Deploymentintermediate
- Research to Production Bridgingintermediate
- Algorithm Developmentintermediate
- System Building for AIintermediate
- Text Understanding and Generationintermediate
- Image Understanding and Generationintermediate
- Speech Understanding and Generationintermediate
- Video Understanding and Generationintermediate
- Multimodal AI Capabilitiesintermediate
- Infrastructure Building for AIintermediate
- Dataset Creation for AIintermediate
Required Qualifications
- MS or PhD in Computer Science, Machine Learning, or related technical field (degree in phd in computer science)
- Expert-level programming skills in Python (experience)
- Proficiency in machine learning frameworks such as Jax, PyTorch, TensorFlow (experience)
- Strong background in: Distributed training, Model optimization, and Machine learning infrastructure (experience)
- Experience with large-scale model training and deployment (experience)
- Familiarity with: Kubernetes, Docker, Cloud platforms (AWS, GCP, Azure) (experience)
- Distributed computing frameworks (experience)
Preferred Qualifications
- Experience with foundation models and large language models (experience)
- Background in multi-modal AI systems (experience)
- Demonstrated ability to transform research prototypes into production systems (experience)
- Published research or significant contributions to open-source ML projects (experience)
- Understanding of on-device machine learning techniques (experience)
Responsibilities
- Apple Foundation Model Team are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for MLEs who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight billions of users with Apple products powered by foundation models. We are looking for an exceptional Machine Learning Engineer to design, develop, and deploy foundation models that drive intelligent features across Apple's product portfolio. You will bridge the gap between research and production, transforming advanced AI concepts into robust, performant systems that enhance user experiences.
- Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains
- Collaborate with other teams to productionize state-of-the-art AI algorithms
- Optimize models for performance, efficiency, and on-device intelligence
- Implement machine learning systems with stringent privacy and security requirements
- May also be required to manage a small team of engineers.
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Answer 10 quick questions to check your fit for AIML - Machine Learning Engineer, Foundation Models @ Apple.
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AIML - Machine Learning Engineer, Foundation Models
Apple
AIML - Machine Learning Engineer, Foundation Models
Job Description
Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We're seeking skilled Machine Learning Engineers to transform cutting-edge research into scalable, production-ready AI solutions. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products. Apple Foundation Model Team are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for MLEs who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight billions of users with Apple products powered by foundation models. We are looking for an exceptional Machine Learning Engineer to design, develop, and deploy foundation models that drive intelligent features across Apple's product portfolio. You will bridge the gap between research and production, transforming advanced AI concepts into robust, performant systems that enhance user experiences.
Locations
- Cupertino, California, United States 95014
- New York City, New York, United States 10022
- 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
- Machine Learning Engineeringintermediate
- Deep Learningintermediate
- Building Scalable AI Solutionsintermediate
- AI Model Developmentintermediate
- Foundation Model Designintermediate
- AI Deploymentintermediate
- Research to Production Bridgingintermediate
- Algorithm Developmentintermediate
- System Building for AIintermediate
- Text Understanding and Generationintermediate
- Image Understanding and Generationintermediate
- Speech Understanding and Generationintermediate
- Video Understanding and Generationintermediate
- Multimodal AI Capabilitiesintermediate
- Infrastructure Building for AIintermediate
- Dataset Creation for AIintermediate
Required Qualifications
- MS or PhD in Computer Science, Machine Learning, or related technical field (degree in phd in computer science)
- Expert-level programming skills in Python (experience)
- Proficiency in machine learning frameworks such as Jax, PyTorch, TensorFlow (experience)
- Strong background in: Distributed training, Model optimization, and Machine learning infrastructure (experience)
- Experience with large-scale model training and deployment (experience)
- Familiarity with: Kubernetes, Docker, Cloud platforms (AWS, GCP, Azure) (experience)
- Distributed computing frameworks (experience)
Preferred Qualifications
- Experience with foundation models and large language models (experience)
- Background in multi-modal AI systems (experience)
- Demonstrated ability to transform research prototypes into production systems (experience)
- Published research or significant contributions to open-source ML projects (experience)
- Understanding of on-device machine learning techniques (experience)
Responsibilities
- Apple Foundation Model Team are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for MLEs who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight billions of users with Apple products powered by foundation models. We are looking for an exceptional Machine Learning Engineer to design, develop, and deploy foundation models that drive intelligent features across Apple's product portfolio. You will bridge the gap between research and production, transforming advanced AI concepts into robust, performant systems that enhance user experiences.
- Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains
- Collaborate with other teams to productionize state-of-the-art AI algorithms
- Optimize models for performance, efficiency, and on-device intelligence
- Implement machine learning systems with stringent privacy and security requirements
- May also be required to manage a small team of engineers.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Machine Learning Engineer, Foundation Models @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs