Job Description

Locations

• Beijing, Beijing, China 100045

Salary

Skills Required

• Linuxintermediate
• Networkingintermediate
• Kubernetesintermediate
• Pythonintermediate
• Gointermediate
• Machine Learning infrastructureintermediate
• model training pipelinesintermediate
• architecture designintermediate
• performance improvementintermediate
• cross-organizational collaborationintermediate

Required Qualifications

• Master or PhD degree in Computer Science, Electrical Engineering or equivalent (degree in phd degree in computer science)
• Proficiency in coding with scripting and programming languages, including Bash, Python, Golang (experience)
• Demonstrated understanding of computing, storage and networking in public cloud infrastructure, including provisioning, setup, monitoring, security operations, performance tuning, and troubleshooting. (experience)
• Rich knowledge on data cleaning, machine learning model training (experience)
• Basic hand-on experience on Kubernetes, and Linux command line utilities (experience)
• Basic knowledge on infrastructure services, e.g. DNS, logging, LDAP etc. (experience)

Preferred Qualifications

• Self-motivated and proactive, with demonstrated creative and critical thinking capabilities (experience)
• Ability to identify problems in depth, distinguishing purposes vs. measures without confusion (experience)
• Strong sense of thoroughness, driving details, delivering running code, and contributing to the collective understanding of the organization (experience)
• Sense of speed and prioritization, driving what matters with constrained resources while delivering high-quality results (experience)
• Good communication with internal and external teams, in English and in Chinese (experience)
• Rich knowledge of ML as well as experience in developing real ML jobs (experience)
• Experience of designing and implementing systems to support ML applications (experience)

Responsibilities

• Key words: Linux, Networking, Kubernetes, Python, Go
• Infrastructure Systems Engineer is expected to investigate new technology of ML platform, in order to design architecture and improve performance through cross-organizational collaboration. The role has a high impact and is essential to create the highest quality user experience for Apple internal and external customers.
• The Infrastructure Systems Engineer Intern 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 platform 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
• - Investigate new technologies to enhance system performance, reliability and redundancy. Create performance profile for platforms and services, defining service level objectives (SLO) and driving the measurement, monitoring and evaluation over these objectives
• - Improve 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
• - Develop and implement the above design, bringing it to an internal product, with observability to support efficient systems management

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