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Software Engineer, Apple Services Engineering, Performance Architecture - Data & Tools

Seattle,Washington,United States

Software and Services

Imagine what you could do here. At Apple, great ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionised entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The ASE Performance Architecture (Data & Tools) team seeks a detail-oriented engineer to design and develop data science-driven tools that enhance the performance of products within Apple Services. This role requires a strong software engineering background to develop tools using statistical and data science methods for performance analysis. Additionally, it demands creativity to devise and customize solutions as necessary, coupled with the ability to collaborate in the development and deployment of advanced analytical products. If you are an individual who relishes solving intricate challenges across diverse environments, all in pursuit of continuous enhancements to our Apple Services, we encourage you to apply!

Description

As part of the performance team, with software development experience, you will be working with a broad set of technologies to help develop tools for performance observability, benchmarking and analysis of products in Apple Services such as App Store, Apple Music, Apple TV+, Podcasts and others. You will partner with a diverse set of peers to design, implement and iteratively improve platforms and tools that will be used by executives as well as developers across the organization to diagnose and improve products and services that touch hundreds of millions of users. We need a highly motivated and resourceful engineer that can translate high-level requirements into product definitions balancing pragmatism and purism, and easily move between big picture and details. To be successful you are self-motivated, flexible in your approach, and exude tight-knit collaboration skills, including the ability to mentor and be mentored. Creativity, innovation and a persistent drive for result will be required to design user experiences for tools that have no parallel. If you want to join this amazing team, this position is for you.

Minimum Qualifications

• MS/PhD in Statistics, Computer Science, or other quantitative fields.

• Proficiency in statistics (A/B experimentation, distributions etc).

• Software development experience using Python, Scala, or other, high-level programming language.

• Experience with building interactive data visualizations (e.g., D3, ggplot2), and reports.

• Experience working with NoSQL databases (e.g. Cassandra), object storages (e.g., S3), and flat files (e.g. Parquet).

• Track record of building data science solutions including novel analysis or methodologies for multivariate time series data to improve data quality and product performance.

• Enthusiastic, customer-obsessed team-player who enjoys collaborating with a variety of cross functional teams to drive impactful insights from performance data.

• Well-organized and self-motivated. Comfortable advancing multiple priorities at once with attention to details and a drive for results.

Key Qualifications

Preferred Qualifications

• Solid understanding of data engineering production process (unit tests, data pipelines, etc.) with experience in data processing / modeling using Spark.

• Experience with Performance analysis and optimization.

• Experience using React.

• Experience with anomaly detection.

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 $296,300, 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 (https://www.apple.com/careers/us/benefits.html) 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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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) .

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