176 jobs for "Senior Cloud Platform and AI Engineer"

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

Ads Engineering builds ad tech the Apple way-privacy-preserving, user-centric, and built to scale. Our infrastructure supports massive real-time demand with low latency, precision, and global reach. Our work spans distributed systems, large-scale data infrastructure, LLMs, and Generative AI. We design and build best of breed systems for dealing with our complex and ever-growing platform needs that help deliver highly optimized advertising content to consumers.","responsibilities":"Build the foundational pieces of the next generation of Apple Ad's systems

Implement low latency, highly - available, high volume internal and external facing services in a cloud environment.

Design and implement performant services created with the right principles to support rapid growth with minimal operational overheads

Collaborate with cross functional teams including Product Management, Data, SRE, etc. to design and implement systems that can handle a variety of Ads use cases.

Preferred Qualifications

8+ years of experience in software engineering

Ability to work with and lead cross functional teams

Proficiency in Java

Prior experience in advertising industry is a plus

Minimum Qualifications

5 or more years of industry experience building scalable micro services or data driven platforms.

Strong computer science fundamentals.

Prior experience with OOPS programming (eg., Java/C++ or equivalent)

Familiarity with cloud paradigms ( e.g AWS or GCP )

Expertise in building backend distributed systems

Experience with creating solutions using public cloud technologies and APIs

Strong understanding of Micro-service design and high-scale performance tuning

Expertise in relational and non relational datastore

Proficiency in data processing technologies (e.g Kafka, Spark, Flink )

Strong problem solving and debugging skills.

A desire to work in a fast-paced work environment.

Bachelor's degree in Computer Science/Engineering discipline or equivalent. Master's degree preferred.

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 $184,700 and $277,600, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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