Software Engineer - Full Stack

Company:  Apple
Location: Seattle
Closing Date: 06/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description

Software Engineer - Full Stack

Seattle,Washington,United States

Software and Services

Are you passionate about building scalable infrastructure, compute, and big data pipelines for modern search engines? Join the Apple Services Engineering AI/ML Search Platform team! We support multiple line of business teams responsible for Apple media product searches, including App Store, Music, TV, Podcasts, and Fitness+. As part of our missions, we’re upgrading our search platform to the next-generation large language model based engine, and enhancing thousands of compute and big data pipelines to ensure greater scalability and reliability.

Description

As a full stack ML engineer, you will help to upgrade to the next generation search engine, which powers all Apple media product searches, as well as recommendations, hints, and public developer APIs. Your work will ensure a seamless migration with zero impact on customer experiences. Additionally, you will contribute to enhancing the reliability of our large-scale compute and data pipelines by developing new generic data validation and quality gating framework. In this role, you will have the opportunity to learn the full stack of modern search engine, including both online serving and offline data processing. You will collaborate with both ASE AI/ML engineering and science line of business teams to upgrade to the next generation search engine, and onboard them to the new data validation and quality gating framework, which will improve data pipeline quality, reduce compute and storage costs, and minimize future migration engineering efforts.

Minimum Qualifications

  • Relevant experience as a software engineer

  • Proficient in Java, Go, Scala, C++ or other object oriented programming language

  • Understanding of information retrieval fundamentals including indexing, recall, ranking, etc.

  • Passion

Key Qualifications

Preferred Qualifications

  • Experience on large scale distributed system

  • Experience on Solr

  • Experience on big data pipelines with Hadoop, Java, Scala and Spark

  • Knowledge of ML Transformer models and Large Language Models

  • Knowledge of semantic search and ANN algorithms

Education & Experience

Additional Requirements

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 $166,600 and $250,600, 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.

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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