Sr Software Engineer, AI & Data Platforms (AiDP) at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Distributed Systems, Concurrency, Multi-threading, Data Structures, Algorithms, Machine Learning, Python, Kubernetes, CNCF Technologies, GenAI, Debugging, Performance Optimization, Functional Programming, Analytical Methodologies, Design Patterns

Industry

Computers and Electronics Manufacturing

Description

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. MINIMUM QUALIFICATIONS 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 PREFERRED QUALIFICATIONS 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

Responsibilities

The Sr Software Engineer will design, build, and enhance a scalable and highly concurrent distributed platform for the Applied Machine Learning Platform team. This role involves handling high transaction volumes and ensuring the platform's reliability and performance.