AIML - Machine Learning Engineer - Answers, Knowledge and Information
Apple
AIML - Machine Learning Engineer - Answers, Knowledge and Information
Job Description
The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day. The Knowledge Quality team is looking for extraordinary Machine Learning engineers to join a team of world-experts on Large-Scale Data Management and Machine Learning Systems. Together, you will be pushing the boundaries of Knowledge Question Answering in Siri. As part of the Knowledge Quality team, you will design and develop features for a platform that touches upon large-scale data management, machine-learning systems over graph data, and knowledge extraction over semi-structured and unstructured data feeds. You will have the outstanding opportunity to change how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for.
Locations
- 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
- Machine Learningintermediate
- Large-Scale Data Managementintermediate
- Machine Learning Systemsintermediate
- Knowledge Question Answeringintermediate
- Graph Dataintermediate
- Knowledge Extractionintermediate
Required Qualifications
- Excellent programming skills in mainstream programming languages such as Python, Scala, and Go (experience)
- Prior experience with Machine Learning Frameworks such as PyTorch and Tensorflow (experience)
- Working experience with NLP and Large Language Models (experience)
- Experience working with large data sets and pipelines, ideally using the Apache software stack (e.g. Spark) (experience)
- Broad knowledge of computer science and systems; ability to quickly learn new domains (experience)
- Excellent problem-solving and analytic skills (experience)
- Good interpersonal skills and teamwork (experience)
- Passion for building phenomenal products and curiosity to learn (experience)
Preferred Qualifications
- Industry experience of at least 5 years in a similar position (experience, 5 years)
- Experience with cloud-native deployment (e.g. Kubernetes) (experience)
- Experience with continuous integration and continuous development solutions (e.g. Jenkins, etc.) (experience)
Responsibilities
- The Knowledge Quality team is looking for extraordinary Machine Learning engineers to join a team of world-experts on Large-Scale Data Management and Machine Learning Systems. Together, you will be pushing the boundaries of Knowledge Question Answering in Siri. As part of the Knowledge Quality team, you will design and develop features for a platform that touches upon large-scale data management, machine-learning systems over graph data, and knowledge extraction over semi-structured and unstructured data feeds. You will have the outstanding opportunity to change how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for.
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Answer 10 quick questions to check your fit for AIML - Machine Learning Engineer - Answers, Knowledge and Information @ Apple.
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AIML - Machine Learning Engineer - Answers, Knowledge and Information
Apple
AIML - Machine Learning Engineer - Answers, Knowledge and Information
Job Description
The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day. The Knowledge Quality team is looking for extraordinary Machine Learning engineers to join a team of world-experts on Large-Scale Data Management and Machine Learning Systems. Together, you will be pushing the boundaries of Knowledge Question Answering in Siri. As part of the Knowledge Quality team, you will design and develop features for a platform that touches upon large-scale data management, machine-learning systems over graph data, and knowledge extraction over semi-structured and unstructured data feeds. You will have the outstanding opportunity to change how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for.
Locations
- 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
- Machine Learningintermediate
- Large-Scale Data Managementintermediate
- Machine Learning Systemsintermediate
- Knowledge Question Answeringintermediate
- Graph Dataintermediate
- Knowledge Extractionintermediate
Required Qualifications
- Excellent programming skills in mainstream programming languages such as Python, Scala, and Go (experience)
- Prior experience with Machine Learning Frameworks such as PyTorch and Tensorflow (experience)
- Working experience with NLP and Large Language Models (experience)
- Experience working with large data sets and pipelines, ideally using the Apache software stack (e.g. Spark) (experience)
- Broad knowledge of computer science and systems; ability to quickly learn new domains (experience)
- Excellent problem-solving and analytic skills (experience)
- Good interpersonal skills and teamwork (experience)
- Passion for building phenomenal products and curiosity to learn (experience)
Preferred Qualifications
- Industry experience of at least 5 years in a similar position (experience, 5 years)
- Experience with cloud-native deployment (e.g. Kubernetes) (experience)
- Experience with continuous integration and continuous development solutions (e.g. Jenkins, etc.) (experience)
Responsibilities
- The Knowledge Quality team is looking for extraordinary Machine Learning engineers to join a team of world-experts on Large-Scale Data Management and Machine Learning Systems. Together, you will be pushing the boundaries of Knowledge Question Answering in Siri. As part of the Knowledge Quality team, you will design and develop features for a platform that touches upon large-scale data management, machine-learning systems over graph data, and knowledge extraction over semi-structured and unstructured data feeds. You will have the outstanding opportunity to change how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Machine Learning Engineer - Answers, Knowledge and Information @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs