Sr Software Engineer - AML, AI & Data Platforms (AiDP)
Apple
Software Engineering, Data Science
Sunnyvale, CA, USA
USD 181,100-318,400 / year + Equity
Posted on Apr 2, 2026
We are looking for a passionate and experienced Software Engineer to help build the next generation of Applied Machine Learning Platform. The 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 development 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 a 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 a 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 platforms. The mindset required and to be developed is how to process thousands of transactions per second, how to achieve consistency without sacrificing 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.
- 8+ years of software development experience
- 4+ years of Python expertise building production applications
- Solid understanding of Python concurrency, threading, multiprocessing, and their practical trade-offs in high-throughput production systems
- Strong understanding of Python internals and their implications in highly concurrent systems
- Deep knowledge of ML/AI frameworks and ecosystems
- 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 Python applications and libraries
- Bachelor’s Science Computer Science or equivalent or a similar discipline degree or experience
- Excellent written and verbal communication skills on both technical and non-technical topics
- Experience building async web services with Gunicorn (Green Unicorn), FastAPI, or other Python frameworks
- 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 businesses
- Self-directed, self-motivated, and detail-oriented with the ability to come up with good design proposals and thorough analysis of production issues
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.