AIML - Software Engineer for ML Infra, Applebot Crawl & Knowledge Graph
Apple
AIML - Software Engineer for ML Infra, Applebot Crawl & Knowledge Graph
Job Description
Apple’s Knowledge Infrastructure powers features across a variety of Apple products including Siri, Spotlight, Safari, Messages and Lookup. The Knowledge Infrastructure team works on creating and maintaining the pipelines to build the Knowledge Graph which integrates data assets from various heterogeneous sources into a unified knowledge representation, interacting with Web data sources and large language models to power advanced retrieval augmented generation features. We work on problems at the intersection of large scale data management and machine learning, while deploying solutions to a modern cloud-based infrastructure with an advanced technology stack. Apple’s Knowledge Platform team is looking for a talented, result-oriented, creative problem-solver System Engineer who can help manage and maintain large-scale, data-driven systems to enable the growth of the Knowledge Platform. As a member of this team you will be responsible for deploying and monitoring micro-services and pushing the envelop of large scale retrieval augmented generation systems. You will work on building large scale Web data extraction pipelines, and you will also be responsible for managing and deploying self-serve features allowing teams across Apple to use Knowledge Infrastructure. You will be working with bleeding-edge ML technologies to train, deploy and test large scale models that solve a number of problems at the intersection of data pipelines and natural language processing.
Locations
- San Francisco Bay Area, California, United States
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- creative problem-solvingintermediate
- large scale data managementintermediate
- machine learningintermediate
- deploying solutions to cloud-based infrastructureintermediate
- deploying and monitoring micro-servicesintermediate
- building large scale Web data extraction pipelinesintermediate
- managing and deploying self-serve featuresintermediate
- working with ML technologiesintermediate
- training large scale modelsintermediate
- deploying large scale modelsintermediate
- testing large scale modelsintermediate
- data pipelinesintermediate
- natural language processingintermediate
- interacting with large language modelsintermediate
- advanced retrieval augmented generationintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science or equivalent work experience. (experience)
- Background in computer science: algorithms, data structures, and distributed systems (experience)
- Experience working in a cloud-native environment such as AWS (experience)
- Experience working with large-scale data processing pipelines (Spark, Cassandra, etc.) (experience)
- Experience with micro-service architecture in a containerized environment (Docker, Kubernetes, etc.) (experience)
- Experience with observability tools for monitoring applications (Prometheus, DataDog, etc.) (experience)
Preferred Qualifications
- Experience with training and fine-tuning large language models is a plus (experience)
- Experience with Scala and Go is a plus (experience)
- Excellent interpersonal skills, able to work independently as well as in a team (experience)
Responsibilities
- Apple’s Knowledge Platform team is looking for a talented, result-oriented, creative problem-solver System Engineer who can help manage and maintain large-scale, data-driven systems to enable the growth of the Knowledge Platform. As a member of this team you will be responsible for deploying and monitoring micro-services and pushing the envelop of large scale retrieval augmented generation systems. You will work on building large scale Web data extraction pipelines, and you will also be responsible for managing and deploying self-serve features allowing teams across Apple to use Knowledge Infrastructure. You will be working with bleeding-edge ML technologies to train, deploy and test large scale models that solve a number of problems at the intersection of data pipelines and natural language processing.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Software Engineer for ML Infra, Applebot Crawl & Knowledge Graph @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
AIML - Software Engineer for ML Infra, Applebot Crawl & Knowledge Graph
Apple
AIML - Software Engineer for ML Infra, Applebot Crawl & Knowledge Graph
Job Description
Apple’s Knowledge Infrastructure powers features across a variety of Apple products including Siri, Spotlight, Safari, Messages and Lookup. The Knowledge Infrastructure team works on creating and maintaining the pipelines to build the Knowledge Graph which integrates data assets from various heterogeneous sources into a unified knowledge representation, interacting with Web data sources and large language models to power advanced retrieval augmented generation features. We work on problems at the intersection of large scale data management and machine learning, while deploying solutions to a modern cloud-based infrastructure with an advanced technology stack. Apple’s Knowledge Platform team is looking for a talented, result-oriented, creative problem-solver System Engineer who can help manage and maintain large-scale, data-driven systems to enable the growth of the Knowledge Platform. As a member of this team you will be responsible for deploying and monitoring micro-services and pushing the envelop of large scale retrieval augmented generation systems. You will work on building large scale Web data extraction pipelines, and you will also be responsible for managing and deploying self-serve features allowing teams across Apple to use Knowledge Infrastructure. You will be working with bleeding-edge ML technologies to train, deploy and test large scale models that solve a number of problems at the intersection of data pipelines and natural language processing.
Locations
- San Francisco Bay Area, California, United States
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- creative problem-solvingintermediate
- large scale data managementintermediate
- machine learningintermediate
- deploying solutions to cloud-based infrastructureintermediate
- deploying and monitoring micro-servicesintermediate
- building large scale Web data extraction pipelinesintermediate
- managing and deploying self-serve featuresintermediate
- working with ML technologiesintermediate
- training large scale modelsintermediate
- deploying large scale modelsintermediate
- testing large scale modelsintermediate
- data pipelinesintermediate
- natural language processingintermediate
- interacting with large language modelsintermediate
- advanced retrieval augmented generationintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science or equivalent work experience. (experience)
- Background in computer science: algorithms, data structures, and distributed systems (experience)
- Experience working in a cloud-native environment such as AWS (experience)
- Experience working with large-scale data processing pipelines (Spark, Cassandra, etc.) (experience)
- Experience with micro-service architecture in a containerized environment (Docker, Kubernetes, etc.) (experience)
- Experience with observability tools for monitoring applications (Prometheus, DataDog, etc.) (experience)
Preferred Qualifications
- Experience with training and fine-tuning large language models is a plus (experience)
- Experience with Scala and Go is a plus (experience)
- Excellent interpersonal skills, able to work independently as well as in a team (experience)
Responsibilities
- Apple’s Knowledge Platform team is looking for a talented, result-oriented, creative problem-solver System Engineer who can help manage and maintain large-scale, data-driven systems to enable the growth of the Knowledge Platform. As a member of this team you will be responsible for deploying and monitoring micro-services and pushing the envelop of large scale retrieval augmented generation systems. You will work on building large scale Web data extraction pipelines, and you will also be responsible for managing and deploying self-serve features allowing teams across Apple to use Knowledge Infrastructure. You will be working with bleeding-edge ML technologies to train, deploy and test large scale models that solve a number of problems at the intersection of data pipelines and natural language processing.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Software Engineer for ML Infra, Applebot Crawl & Knowledge Graph @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs