AIML- Infrastructure Systems Engineer (Machine Learning), Machine Learning at Apple

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Infrastructure Services, System Architecture, Cloud Services, Kubernetes, Python, Bash, Golang, Java, Observability, Monitoring, Logging, Alerting, Performance Tuning, Troubleshooting, Data Processing, Collaboration

Industry

Computers and Electronics Manufacturing

Description

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 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.

Responsibilities

The Infrastructure Systems Engineer will analyze requirements and design platform architecture to improve scalability and enable high-impact use cases. They will also develop operational solutions and support Dev and Eng efforts through collaboration across local and global teams.