AIML- Infrastructure Systems Engineer (Machine Learning), Machine Learning Platform Technologies
Apple
SummaryPosted: Jan 8, 2025Weekly Hours: 40 Role Number:200585757The AIML Production Engineering China team is looking for an exceptional Infrastructure Systems Engineer with experience in Machine Learning (ML) infrastructure services and applications to work in local and global projects for platforms of computation, data retention, data processing pipelines and result delivery. The Systems Engineer is expected to be qualified as a technical leader, with the potential to design and to build architecture through cross-organizational collaboration. This role has a high impact and is essential to creating the highest quality user experience that Apple internal and external customers expect and love. DescriptionDescriptionThe Infrastructure Systems Engineer will do the following tasks, through collaboration with team members in China and around the world. - Analyze the requirements, demands, constraints and challenges of machine learning in local or global environments, design or re-design platform architecture to improve its scalability and agility, and to enable new, high-impact use cases - Develop and implement the above design, bringing it to an internal product, with observability to support efficient system management - Design and/or enhance automation of operations for infrastructure and platforms, including tools and processes of monitoring, logging and alerting, to improve scalability in both system construction and runtime operations - Support Dev and Eng efforts through provisioning operational solutions, co-design ML application architecture and drive the coordination among local and global, internal and cross-functional groups to achieve the result of success - Create performance profile for platforms and services, defining service level objectives (SLO) and driving the measurement, monitoring and evaluation over these objectives - Lead constant evaluation on system performance and reliability, discover potential faults, drive RCA and fixes Minimum QualificationsMinimum QualificationsMaster or PhD degree in Computer Science, Electrical Engineering or equivalent10+ years of Systems or AIML production-service experience, commensurate with running cutting-edge hybrid cloud services in China and the rest of the worldSolid understanding of system architecture and large-scale service or computational platform operationsDemonstrated understanding of system management, covering aspects of configuration and usage accountingProficiency in coding with scripting and programming languages, including Bash, Python, Golang and Java - while having the ability to select the proper language as a tool to solve a certain problemExperience in large-scale service and job deployment, using an orchestration framework (Kubernetes) and cloud services for large-scale projectsExperience in observability of system behaviors (e.g. Prometheus, Grafana)Key QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsSelf-motivated and proactive, with demonstrated creative and critical thinking capabilitiesAbility to identify problems in depth, distinguishing purposes vs. measures without confusionStrong sense of thoroughness, driving details, delivering running code, and contributing to the collective understanding of the organizationSense of speed and prioritization, driving what matters with constrained resources while delivering high-quality resultsGood communication with internal and external teams, in English and in ChineseDemonstrated understanding of computing, storage, and networking in public cloud infrastructures, including provisioning, setup, monitoring, security operations, performance tuning, and troubleshooting.Knowledge of ML as well as experience in developing real ML jobsExperience of designing and implementing systems to support ML applicationsExperience in device management and mobile app developmentKnowledge of data governance and complianceApple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.Education & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsMore
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