AIML - Software Engineer, Machine Learning Platform & Infrastructure

AIML - Software Engineer, Machine Learning Platform & Infrastructure Pay Competitive Employment type: Other Job Description Req#: 200475628 Summary Do you want to make Siri and Apple products smarter for our users? The Search Infrastructure teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. 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. Siri's universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages, Music, Lookup, and News. We are searching for Infrastructure Engineers to build scalable, highly available, and robust platforms. Build, evolve, and scale state-of-the-art backend system infrastructure powering Apple's Search Platforms. Be a key engineer contributing to the management, development, and operation of the large-scale cloud infrastructure systems. Work with other backend engineers to implement scalable solutions to tackle sophisticated problems. Key Qualifications 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 (S3/EC2/EKS/etc. in AWS, and GKE/GCS/etc. in GCP) and Kubernetes Experience with cluster setup/management, monitoring, and logging 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 are a plus Description 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 and ranking. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others. You'll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity. Education & Experience BS, MS, Ph.D. in a related field, or equivalent experience Additional Requirements Pay & Benefits 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 $170,700 and $300,200, 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. Learn more about Apple Benefits. Note: Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. About the company Work at Apple! Join a team and inspire the work. Discover how you can make an impact: See our areas of work, worldwide locations, and opportunities for students. #J-18808-Ljbffr