AIML - Senior Machine Learning Engineer, Machine Learning Platform Technologies
Apple
AIML - Senior Machine Learning Engineer, Machine Learning Platform Technologies
Job Description
Do you want to make Apple products more intelligent while preserving user privacy? The AIML Information Intelligence team is building groundbreaking technology for search, recommendation, and privacy-preserving information retrieval. Our work helps deliver seamless, private, and intelligent experiences across Apple devices and services. We are looking for a Backend Infrastructure Engineer to design and scale privacy-aware scalable search and retrieval systems. You will work on distributed infrastructure, advanced encryption-based data access protocols, and machine learning system integration. We design and build infrastructures to support features that empowers billions of Apple search users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve crawling, extraction quality, web and knowledge graph data, link selection, freshness, retrieval performance, and many others. You will have the opportunity to work on large-scale, complex systems with cutting-edge cryptographic techniques, directly impacting Apple’s efforts to protect user privacy while enabling intelligent experiences.
Locations
- San Francisco Bay Area, California, United States
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing scalable systemsintermediate
- scaling privacy-aware systemsintermediate
- distributed infrastructureintermediate
- advanced encryption-based data access protocolsintermediate
- machine learning system integrationintermediate
- statistical analysisintermediate
- crawlingintermediate
- data extractionintermediate
- indexingintermediate
- rankingintermediate
- web data analysisintermediate
- knowledge graph dataintermediate
- link selectionintermediate
- retrieval performance optimizationintermediate
- cryptographic techniquesintermediate
Required Qualifications
- BS, MS, Ph.D. in a related field, or equivalent experience (experience)
- Strong coding skills (experience)
- Strong background in computer science: algorithms and data structures (experience)
- Experience with backend development, code performance tuning and testing (experience)
- Experience with cloud services and Kubernetes (experience)
- Understanding of performance optimization and scalable data processing. (experience)
Preferred Qualifications
- Experience with search infrastructure (experience)
- Experience with cluster setup / management, monitoring and logging (experience)
- Experience with cryptographic or privacy-preserving computation techniques (e.g., homomorphic encryption, secure computation, or related protocols). (experience)
- Excellent interpersonal skills able to work independently as well as in a team (experience)
- Experience with Information Retrieval, Large Scale Data-Mining and/or Machine learning (experience)
Responsibilities
- We design and build infrastructures to support features that empowers billions of Apple search users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve crawling, extraction quality, web and knowledge graph data, link selection, freshness, retrieval performance, and many others. You will have the opportunity to work on large-scale, complex systems with cutting-edge cryptographic techniques, directly impacting Apple’s efforts to protect user privacy while enabling intelligent experiences.
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Answer 10 quick questions to check your fit for AIML - Senior Machine Learning Engineer, Machine Learning Platform Technologies @ Apple.
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AIML - Senior Machine Learning Engineer, Machine Learning Platform Technologies
Apple
AIML - Senior Machine Learning Engineer, Machine Learning Platform Technologies
Job Description
Do you want to make Apple products more intelligent while preserving user privacy? The AIML Information Intelligence team is building groundbreaking technology for search, recommendation, and privacy-preserving information retrieval. Our work helps deliver seamless, private, and intelligent experiences across Apple devices and services. We are looking for a Backend Infrastructure Engineer to design and scale privacy-aware scalable search and retrieval systems. You will work on distributed infrastructure, advanced encryption-based data access protocols, and machine learning system integration. We design and build infrastructures to support features that empowers billions of Apple search users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve crawling, extraction quality, web and knowledge graph data, link selection, freshness, retrieval performance, and many others. You will have the opportunity to work on large-scale, complex systems with cutting-edge cryptographic techniques, directly impacting Apple’s efforts to protect user privacy while enabling intelligent experiences.
Locations
- San Francisco Bay Area, California, United States
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing scalable systemsintermediate
- scaling privacy-aware systemsintermediate
- distributed infrastructureintermediate
- advanced encryption-based data access protocolsintermediate
- machine learning system integrationintermediate
- statistical analysisintermediate
- crawlingintermediate
- data extractionintermediate
- indexingintermediate
- rankingintermediate
- web data analysisintermediate
- knowledge graph dataintermediate
- link selectionintermediate
- retrieval performance optimizationintermediate
- cryptographic techniquesintermediate
Required Qualifications
- BS, MS, Ph.D. in a related field, or equivalent experience (experience)
- Strong coding skills (experience)
- Strong background in computer science: algorithms and data structures (experience)
- Experience with backend development, code performance tuning and testing (experience)
- Experience with cloud services and Kubernetes (experience)
- Understanding of performance optimization and scalable data processing. (experience)
Preferred Qualifications
- Experience with search infrastructure (experience)
- Experience with cluster setup / management, monitoring and logging (experience)
- Experience with cryptographic or privacy-preserving computation techniques (e.g., homomorphic encryption, secure computation, or related protocols). (experience)
- Excellent interpersonal skills able to work independently as well as in a team (experience)
- Experience with Information Retrieval, Large Scale Data-Mining and/or Machine learning (experience)
Responsibilities
- We design and build infrastructures to support features that empowers billions of Apple search users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve crawling, extraction quality, web and knowledge graph data, link selection, freshness, retrieval performance, and many others. You will have the opportunity to work on large-scale, complex systems with cutting-edge cryptographic techniques, directly impacting Apple’s efforts to protect user privacy while enabling intelligent experiences.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Senior Machine Learning Engineer, Machine Learning Platform Technologies @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs