Job Description
Summary
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!
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.
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.
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.
Pay & Benefits
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