Software Engineer AML, AI & Data Platforms (AiDP)

AI u0026 Data Platforms (AiDP) is ISu0026Ts engine for AI-powered innovation. The team brings together data application development and machine learning including generative AI along with data services and customer success functions to help ISu0026T build solutions more efficiently and streamline the adoption and embedding of generative AI across are looking for a passionate and experienced Software Engineer to help build next- generation of Applied Machine Learning Platform. 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 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.

As a Software Engineer who has deep systems thinking to design build and enhance scalable and highly concurrent ML and AI serving platform. Knowledge of Python and Java Machine Learning concepts tools and packages is a must. If youre 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. nThe mindset required and to be developed is how to process thousands of transactions per second how to achieve the consistency without sacrificing the performance. nWork 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 experiencen4 years of Python or Java expertise building Production ApplicationsnSolid understanding of concurrency threading multiprocessing and their practical trade-offs in high-throughput production systemsnStrong understanding of language internals and their implications in highly concurrent systemsnDeep knowledge of ML and AI frameworks and ecosystemnStrong understanding of computer science fundamentals including data structures and algorithmsnProficiency in Containerization technologies like Kubernetes and CNCF technologiesnProficiency in profiling optimizing debugging applications and librariesnBachelors Science in Computer Science or similar degree or discipline or experience

Excellent written and verbal communication skills on both technical and non-technical topicnExposure to Ray KServe Triton Or other inference frameworksnAbility to debug complex cross-platform issues and optimize performancenAbility to debug and improve ML workflow tuning for high accuracynKnowledge of using GenAI to build solutions to improve productivity of developers users and businessnSelf-directed self-motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues