Sr Software Engineer, AI & Data Platforms; AiDP

Sr Software Engineer, AI & Data Platforms (AiDP)

Sunnyvale, California, United States Corporate Functions

We are looking for a passionate and experienced Software Engineer to help build next- generation of Applied Machine Learning Platform. Applied Machine Learning (AML) 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, Apple Care and Manufacturing.

In addition to preventing Fraud, this platform is responsible for driving Operations and Logistics for Online Store, Apple Care and Retail. Our team within the greater AML 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.

We are seeking a talented Sr Software Engineer who has deep systems thinking to design, build and enhance scalable and highly concurrent distributed platform. Knowledge of popular Machine Learning concepts, tools and packages is helpful but can be an ongoing skill acquisition as part of the job. 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. 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.

• 8+ years of software development experience
• 4+ years Java skills and good knowledge of JVM internals
• Proven skills in designing scalable, highly available distributed systems which can handle high transaction volumes and performance