Sr Software Engineer, AI & Data Platforms (AiDP)

Apple • Sunnyvale, CA

1d

About The Position

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, 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 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.

DESCRIPTION

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.

Requirements

• 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
• Strong understanding of computer science fundamentals, including data structures and algorithms
• Solid understanding of concurrency, multi-threading, multiple design patterns, debugging, or analytical methodologies
• Bachelor’s degree or equivalent in Computer Science or similar discipline or experience

Nice To Haves

• Excellent written and oral communication skills on both technical and non-technical topic.
• Exposure to functional programming language.
• Exposure to Python language, frameworks and ML/AI ecosystem.
• Familiarity with building solutions using Kubernetes and CNCF technologies.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees