Software Engineer - AML, AI & Data Platforms (AiDP)

AI & Data Platforms (AiDP) is IS&T's 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 IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

We 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 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.

Description

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 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.

Minimum Qualifications

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 and 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 Science in Computer Science or similar degree or discipline or experience

Preferred Qualifications

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