Company

AppleSee more

addressAddressCupertino, CA
type Form of workFull-Time
CategoryInformation Technology

Job description

Summary
Posted: Dec 15, 2023
Weekly Hours: 40
Role Number:200517178
Applied Machine Learning Platform team provides backend services and infrastructure for various Machine Learning and Data Science teams to train, build and deploy models to prevent Fraud on multiple Apple Platforms like Apple Pay, iTunes, App Store, Online Store, Retail and Manufacturing. Our team within the greater AML Platform team is the Core Services which is a backbone of the platform, responsible for handling thousands of transaction per second in a distributed manner.
Key Qualifications
Key Qualifications
  • 8+ years of experience with Strong 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 and multi-threading, multiple design patterns and debugging and analytical methodologies.
  • Exposure to a functional programming language.
  • Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues.
  • Excellent written and oral communication skills on both technical and non-technical topic.
  • Familiarity with building solutions using Kubernetes and CNCF technologies.

Description
Description
This is a role of a Sr Software Engineer who will be responsible for the design, build and enhancements of 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. 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.
Education & Experience
Education & Experience
Bachelor’s degree or equivalent in Computer Science or similar discipline.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
  • 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 $170,700 and $300,200, 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.
Refer code: 7324976. Apple - The previous day - 2023-12-19 00:15

Apple

Cupertino, CA
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