California Staffing Service
AIML - Senior Machine Learning Engineer, Machine Learning Platform Technologies
California Staffing Service, San Francisco, California, United States, 94199
Backend Infrastructure Engineer
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 empower 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. Minimum Qualifications: BS, MS, Ph.D. in a related field, or equivalent experience Strong coding skills Strong background in computer science: algorithms and data structures Experience with backend development, code performance tuning and testing Experience with cloud services and Kubernetes Understanding of performance optimization and scalable data processing Preferred Qualifications: Experience with search infrastructure Experience with cluster setup/management, monitoring and logging Experience with cryptographic or privacy-preserving computation techniques (e.g., homomorphic encryption, secure computation, or related protocols) Excellent interpersonal skills able to work independently as well as in a team Experience with Information Retrieval, Large Scale Data-Mining and/or Machine learning At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
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 empower 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. Minimum Qualifications: BS, MS, Ph.D. in a related field, or equivalent experience Strong coding skills Strong background in computer science: algorithms and data structures Experience with backend development, code performance tuning and testing Experience with cloud services and Kubernetes Understanding of performance optimization and scalable data processing Preferred Qualifications: Experience with search infrastructure Experience with cluster setup/management, monitoring and logging Experience with cryptographic or privacy-preserving computation techniques (e.g., homomorphic encryption, secure computation, or related protocols) Excellent interpersonal skills able to work independently as well as in a team Experience with Information Retrieval, Large Scale Data-Mining and/or Machine learning At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.