AIML - Software Development Engineer, Machine Learning Platform & Infra

Company: Apple
Company: Apple
Location: Seattle, Washington, United States
Department: Machine Learning and AI
Posted on: 2024-07-01 06:00
Summary Posted: Jun 30, 2024 Weekly Hours: 40 Role Number: 200557274 Apple’s Knowledge Platform powers features across a variety of Apple products including Siri, Spotlight, Safari, Messages and Lookup. The Knowledge Infra 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. 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. Description Description Apple’s Knowledge Infra team is looking for a hard-working, 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 building tools and systems for infrastructure management, deploying and monitoring micro-services and continuous integration frameworks. You will also be responsible for managing and deploying self-serve features allowing teams across Apple to use the Knowledge Platform. You will be working with innovative 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. Minimum Qualifications Minimum Qualifications Background in computer science: algorithms, data structures, and distributed systems Experience working in a cloud-native environment such as AWS Experience working with large-scale data processing pipelines (Spark, Cassandra, etc.) Experience with micro-service architecture in a containerized environment (Docker, Kubernetes, etc.) Experience with CI/CD pipelines for building, testing, and deploying code (Jenkins, Spinnaker, etc.) Bachelor's, Master's degree in Computer Science or equivalent work experience Key Qualifications Key Qualifications Preferred Qualifications Preferred Qualifications Experience with observability tools for monitoring applications (Prometheus, DataDog, etc.) Experience with Scala and Go is a plus Excellent interpersonal skills, able to work independently as well as in a team Education & Experience Education & Experience Additional Requirements Additional Requirements Pay & Benefits 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 $131,500 and $243,300, 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. More Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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