Staff Data Scientist, Platform Efficiency, Apple Data Platform

Apple

Apple is a global technology company that designs, manufactures, and sells consumer electronics, software, and services.

San Francisco, CA, USA

$175,800 - $312,200

Data

Staff Software Engineer

In-Person

5,000+ Employees

10+ years of experience

This job posting may no longer be active. You may be interested in these related jobs instead:

Manager, Engineering Program Management - Strategic Data Solutions

Apple

Lead technical programs and engineering project managers in Apple's Strategic Data Solutions team, focusing on fraud prevention and security optimization.

Staff Data Infrastructure / Platform Engineer - Lakehouse, Apple Data Platform

Apple

Lead Apple's Data Lakehouse team, building and scaling exabyte-scale data infrastructure while mentoring team members and driving technical excellence.

Staff Data Infrastructure / Platform Engineer - Lakehouse, Apple Data Platform

Apple

Lead Apple's Data Lakehouse team as Staff Engineer, building and scaling exabyte-scale data infrastructure with cutting-edge technologies.

Staff Data Scientist, Apps Team

Apple

Staff Data Scientist position at Apple focusing on machine learning modeling and data products development for subscription services and product optimization.

Staff Data Scientist, Apps Team

Apple

Staff Data Scientist position at Apple focusing on machine learning modeling and data products development for subscription services and product optimization.

Description For Staff Data Scientist, Platform Efficiency, Apple Data Platform

Apple Data Platform is seeking a Staff Data Scientist to lead platform efficiency initiatives for their ML and analytics infrastructure supporting Siri, Search, and other ML features. This role combines deep technical expertise with strategic leadership, focusing on optimizing cost and performance for Apple's data infrastructure.

As the Platform Efficiency leader, you'll be responsible for analyzing performance metrics, implementing cost optimization strategies, and driving efficiency improvements across Apple's data services. You'll work with cross-functional teams to build and automate observability systems, develop cost attribution models, and make data-driven recommendations for infrastructure improvements.

The ideal candidate brings 10+ years of data science experience with a strong background in big data technologies. You'll need excellent analytical skills to identify optimization opportunities and executive-level communication abilities to influence stakeholders across Apple. Your work will directly impact the efficiency and scalability of Apple's ML infrastructure.

This role offers competitive compensation ($175,800-$312,200) plus equity opportunities, comprehensive benefits, and the chance to work on technology that powers features used by millions. You'll join Apple's Software and Services division in Cupertino, contributing to the platform that enables AI/ML applications across Apple's product ecosystem.

If you're passionate about data-driven decision making, platform optimization, and leading technical initiatives at scale, this role offers the opportunity to make a significant impact at one of the world's most innovative technology companies.

Last updated 2 months ago

Responsibilities For Staff Data Scientist, Platform Efficiency, Apple Data Platform

Drive overall platform efficiency for Apple Data Platform
Identify optimization opportunities for cost and performance efficiency
Define and collaborate on observability and benchmarking requirements
Build data pipelines and automate dashboards
Define strategy for Data Platform cost efficiency
Present insights to senior executives
Conduct market research and data analysis
Foster inclusive, collaborative, and data-driven culture

Requirements For Staff Data Scientist, Platform Efficiency, Apple Data Platform

Python

10+ years of data science experience
6+ years of experience in big-data-related domain
Proficiency in data platform technologies, performance analysis, cost optimization
Strong data-oriented approach and analysis skills
Executive communication and presentation skills
Experience in influencing and driving platform efficiency initiatives
BS, MS, or Ph.D. degree in Computer Science or equivalent experience
Problem-solving skills and ability to thrive in fast-paced environment

Benefits For Staff Data Scientist, Platform Efficiency, Apple Data Platform

Medical Insurance

Dental Insurance

401k

Equity

Education Budget

Relocation Benefits

Comprehensive medical and dental coverage
Retirement benefits
Employee stock programs
Education reimbursement
Discretionary bonuses
Relocation assistance
Employee discount on products
Free services

Apple

Apple is a global technology company that designs, manufactures, and sells consumer electronics, software, and services.

San Francisco, CA, USA

$175,800 - $312,200

Data

Staff Software Engineer

In-Person

5,000+ Employees

10+ years of experience

Apple

Count Numbers with Unique Digits

Data Structures & AlgorithmsMedium

Given an integer n, return the count of all numbers with unique digits, x, where 0 <= x < 10^n. For example: Input: n = 2 Output: 91 Explanation: The answer should be the total numbers in the range of 0 <= x < 100, excluding 11,22,33,44,55,66,77,88,99 Input: n = 0 Output: 1

Dynamic Programming

Recursion

Apple

How would you design a URL shortening system like TinyURL?

System DesignMedium

Let's design a system for URL shortening, like TinyURL. Assume a large-scale service. Please consider the following aspects in your design: Functional Requirements: The system should generate shorter URLs (a.k.a. short links) given longer URLs. Users should be able to navigate to the original URL by entering the short link in their browser. The system should be highly available. Non-Functional Requirements: The system should have low latency for both URL shortening and redirection. Short links should be relatively short (e.g., 6-8 characters). The system should be able to handle a large number of URL shortening and redirection requests. Capacity Estimation: Assume 100 million URLs are shortened per day. Assume 1 billion URL redirections per day. Estimate storage requirements for 5 years. Design Considerations: How would you generate unique short links? What data structures and databases would you use to store the URL mappings? How would you handle collisions when generating short links? How would you optimize for low latency redirection? How would you scale the system to handle the expected traffic? Walk me through your design, explaining your choices and the trade-offs you considered. Provide diagrams where necessary to illustrate the architecture.

Database Problems

Dynamic Programming

Graphs

Greedy Algorithms

Arrays

Strings

Apple

How do you handle a developer disagreeing with a bug report?

Behavioral

Let's say a developer doesn't agree that a reported bug is actually a bug. How would you handle this situation? Be specific. For example, imagine you're a QA engineer, and you find that a button on a webpage is slightly misaligned in a specific browser. You log this as a bug, but the front-end developer says it's 'within acceptable tolerances' and refuses to fix it. Or, perhaps a back-end developer claims that a specific edge-case error is so rare it's not worth the effort to address, even though you believe it violates the product's stated reliability goals. What steps would you take to resolve the disagreement while maintaining a positive working relationship and ensuring product quality? Consider the different approaches you could take based on the severity and impact of the potential bug.

Interested in this job?