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Senior Software Engineer (Enterprise Systems), IS&T Ai & Data Platforms
AppleShanghai, Shanghai, ChinaSenior6+ years
Apply We are looking for a passionate and experienced Software Engineer to help build next- generation of Applied Machine Learning Platform at Apple China. Applied Machine Learning Platform team provides backend services and infrastructure for various Machine Learning and Data Science teams to train, build, deploy and inference models at scale to prevent Fraud on multiple Apple Platforms like Apple Pay, Apple Media Products, App Store, Online Store, Retail, AppleCare and Manufacturing. In addition to preventing Fraud, this platform is responsible for driving Operations and Logistics for Online Store, AppleCare and Retail. Our team within the greater AiDP Platform team is the Core Services which is a backbone of the platform, responsible for handling thousands of transactions per second in a distributed manner.
This is a role of a Sr Software Engineer who has deep systems thinking to design, build and enhance scalable and highly concurrent ML/AI serving platform. Knowledge of Python, Machine Learning concepts, tools and packages is a must. If you’re excited about building production-grade platform and solving hard distributed systems problems, this is your opportunity to make a lasting impact at scale.
- You will design and implement large-scale, secure, and highly available systems, while collaborating across teams to drive the future of secure scalable inference platform. The mindset required and to be developed is how to process thousands of transactions per second, how to achieve the consistency without sacrificing the performance. Work with cross functional teams to drive requirements, size scope and effort, mentor junior engineers, lead the project to completion and provide support for any Production issues.
- 6+ years of software development experience
- 4+ years of Python or Java expertise building Production Applications
- Solid understanding of concurrency, threading, multiprocessing and their practical trade-offs in high-throughput production systems
- Strong understanding of language internals and their implications in highly concurrent systems
- Deep knowledge of ML/AI frameworks and ecosystem
- Strong understanding of computer science fundamentals, including data structures and algorithms
- Proficiency in Containerization technologies like Kubernetes and CNCF technologies
- Proficiency in profiling, optimizing, debugging applications and libraries
- Bachelor’s degree or equivalent in Computer Science or similar discipline or experience
- Excellent written and verbal communication skills on both technical and non-technical topic
- Exposure to Ray, KServe, Triton Or other inference frameworks
- Ability to debug complex cross-platform issues and optimize performance
- Ability to debug and improve ML workflow tuning for high accuracy
- Knowledge of using GenAI to build solutions to improve productivity of developers, users, and business
- Self-directed, self-motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues
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