At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone!
Description
Ad-Delivery is a diverse, global, agile engineering team that moves smart and fast by consuming and optimizing readily-available technology, collaborating to improve and scale capabilities across businesses and use cases, and sharing our own innovative solutions so everyone can benefit. Our platforms are highly-performant, deployed at scale, and used by internal systems and thousands of developers and advertisers worldwide while protecting user privacy. We are not constrained by organization structure and offer flexibility to work on a variety of backend systems, and we have fun doing it! You will: - Collaborate with product management to define external APIs for campaign management. - Design and implement performant AI/ML platforms for online prediction. - Implement low latency, highly - available, high volume user facing ad-serving systems in a cloud environment. - Engineer secure and scalable distributed data processing systems that generate data required for online ad-serving systems.
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Minimum Qualifications
- 6 or more years of industry experience building scalable micro services or data driven platforms.
- Strong computer science fundamentals and data engineering fundamentals
- Prior experience with Java/Scala/C++ or equivalent.
- Expertise in NoSQL datastores ( e.g Cassandra, Keyspaces, ElastiCache) and data modeling
- Proficiency in data processing technologies (e.g Kafka, Spark, Flink )
- Experience building and scaling systems in the cloud
- Strong technical skills with proven experience developing, architecting, and supporting scalable data infrastructure
- Familiarity with cloud paradigms ( e.g AWS )
- Bachelors degree in Computer Science or equivalent is required. Master's degree preferred.
Preferred Qualifications
- Demonstrated ability to work on complex problems and systems
- Strong problem solving and debugging skills.
- Have the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
- A desire to work in a fast-paced and challenging work environment
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 $143,100 and $264,200, 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.
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 .
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