Sr Software Engineer, AI & Data Platforms (AiDP)

We are seeking a passionate and experienced Sr Software Engineer to build the next-generation Applied Machine Learning Platform. This platform provides backend services and infrastructure for ML and Data Science teams to train, build, deploy, and inference models at scale, primarily to prevent Fraud across various Apple Platforms like Apple Pay, App Store, and Retail. The Core Services team, a backbone of the platform, handles thousands of transactions per second in a distributed manner. This role involves designing, building, and enhancing scalable, highly concurrent distributed platforms, solving complex distributed systems problems, and making a lasting impact at scale.

Must Have

• 8+ years of software development experience
• 4+ years Java skills and JVM internals knowledge
• Proven skills in designing scalable, highly available distributed systems
• Strong understanding of computer science fundamentals, data structures, algorithms
• Solid understanding of concurrency, multi-threading, design patterns, debugging

Good to Have

• Excellent written and oral communication skills
• Exposure to Python, frameworks, and ML/AI ecosystems
• Familiarity with 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
• Self-directed, self-motivated, detail-oriented, good design proposals

Perks & Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses (tuition)
• Opportunity to become an Apple shareholder through employee stock programs
• Eligibility for discretionary restricted stock unit awards
• Option to purchase Apple stock at a discount (Employee Stock Purchase Plan)
• Eligibility for discretionary bonuses or commission payments
• Relocation assistance

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.

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.

• 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. The mindset required and to be developed is how to process thousands of transactions per second, how to achieve the consistency without sacrificing the 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 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

• Excellent written and oral communication skills on both technical and non-technical topic
• Exposure to Python, frameworks and ML/AI ecosystems
• 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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.

Apple accepts applications to this posting on an ongoing basis.