职位描述：
Summary：
The 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.
Description：
The 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
职位要求：
Minimum Qualifications：
Master or PhD degree in Computer Science, Electrical Engineering or equivalent
5+ years of Systems or AIML production-service experience, commensurate with running cutting-edge hybrid cloud services in China and the rest of the world
Solid understanding of system architecture and large-scale service or computational platform operations
Demonstrated understanding of system management, covering aspects of configuration and usage accounting
Proficiency 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 problem
Experience in large-scale service and job deployment, using an orchestration framework (Kubernetes) and cloud services for large-scale projects
Experience in observability of system behaviors (e.g. Prometheus, Grafana)
Preferred Qualifications：
Self-motivated and proactive, with demonstrated creative and critical thinking capabilities
Ability to identify problems in depth, distinguishing purposes vs. measures without confusion
Strong sense of thoroughness, driving details, delivering running code, and contributing to the collective understanding of the organization
Sense of speed and prioritization, driving what matters with constrained resources while delivering high-quality results
Good communication with internal and external teams, in English and in Chinese
Demonstrated 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 jobs
Experience of designing and implementing systems to support ML applications
Experience in device management and mobile app development
Knowledge of data governance and compliance
Apple 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.
招聘部门：
Apple Machine Learning and AI
工作地点：
Beijing, Beijing, China
注意：为了确保您掌握真实的招聘信息，上述信息均为原始内容。我们的“面试建议”和“模拟面试”均基于原始招聘信息设计和提供。
面试建议：
Apple的AIML-基础设施系统工程师职位是一个高影响力的角色，要求候选人不仅具备扎实的技术背景，还需要在跨组织协作和架构设计方面有丰富的经验。面试官会特别关注你在机器学习基础设施和大规模服务部署方面的实际经验，尤其是你如何解决复杂的技术挑战和推动系统性能优化。 在准备面试时，建议你重点展示你在系统架构设计和机器学习平台开发中的实际案例，尤其是那些能够体现你解决问题能力和跨团队协作的项目。同时，准备好讨论你在使用Kubernetes、Prometheus等工具时的具体经验，以及你如何通过这些工具提升系统的可观察性和可靠性。此外，面试官可能会考察你对公共云基础设施的理解，包括配置、监控和安全操作，因此确保你对这些领域有深入的了解并能举例说明。最后，由于这是一个需要中英文沟通的职位，你的语言能力和沟通技巧也会是面试的重点之一。
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