AIML - Machine Learning Engineer, Foundation Models
Apple
AIML - Machine Learning Engineer, Foundation Models
Job Description
We 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 believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. 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. Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, but also improve the experience of millions of users.
Locations
- Cupertino, California, United States 95014
- New York City, New York, United States 10022
- Seattle, Washington, United States 98117
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
- deep learning researchintermediate
- natural language processingintermediate
- multi-modal understandingintermediate
- building infrastructureintermediate
- building datasetsintermediate
- building modelsintermediate
- text understandingintermediate
- text generationintermediate
- image understandingintermediate
- image generationintermediate
- speech understandingintermediate
- speech generationintermediate
- video understandingintermediate
- video generationintermediate
- scaling deep learningintermediate
- deep learning efficiencyintermediate
- deep learning flexibilityintermediate
- combining learning with knowledgeintermediate
Required Qualifications
- Proven track record in training or deployment of large models or building large-scale distributed systems. (experience)
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow (experience)
- Ability to work in a collaborative environment (experience)
- PhD, or equivalent practical experience, in Computer Science, or related technical field. (experience)
Preferred Qualifications
- Web-scale information retrieval (experience)
- Human-like conversation agent (experience)
- Multi-modal perception for existing products and future hardware platforms (experience)
- On-device intelligence and learning with strong privacy protections (experience)
Responsibilities
- We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge.
- 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.
- Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, but also improve the experience of millions of users.
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AIML - Machine Learning Engineer, Foundation Models
Apple
AIML - Machine Learning Engineer, Foundation Models
Job Description
We 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 believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. 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. Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, but also improve the experience of millions of users.
Locations
- Cupertino, California, United States 95014
- New York City, New York, United States 10022
- Seattle, Washington, United States 98117
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
- deep learning researchintermediate
- natural language processingintermediate
- multi-modal understandingintermediate
- building infrastructureintermediate
- building datasetsintermediate
- building modelsintermediate
- text understandingintermediate
- text generationintermediate
- image understandingintermediate
- image generationintermediate
- speech understandingintermediate
- speech generationintermediate
- video understandingintermediate
- video generationintermediate
- scaling deep learningintermediate
- deep learning efficiencyintermediate
- deep learning flexibilityintermediate
- combining learning with knowledgeintermediate
Required Qualifications
- Proven track record in training or deployment of large models or building large-scale distributed systems. (experience)
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow (experience)
- Ability to work in a collaborative environment (experience)
- PhD, or equivalent practical experience, in Computer Science, or related technical field. (experience)
Preferred Qualifications
- Web-scale information retrieval (experience)
- Human-like conversation agent (experience)
- Multi-modal perception for existing products and future hardware platforms (experience)
- On-device intelligence and learning with strong privacy protections (experience)
Responsibilities
- We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge.
- 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.
- Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, but also improve the experience of millions of users.
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