Apple AR/VR Job | Machine Learning & Data Scientist, OS Power & Performance
Job（岗位）: Machine Learning & Data Scientist, OS Power & Performance
Citys（岗位城市）: Cupertino, California, United States
Date（发布日期）: 2025-1-24
Summary（岗位介绍）
Great performance is critical to Apple's product experience. Would you like to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users? Does the idea of developing data products to improve Apple’s software & hardware performance excite you? If this describes you, we would love to hear from you!
Qualifications（岗位要求）
Quantitative Foundation: Education in Computer Science, Electrical Engineering, or a related quantitative field. We expect a mathematical foundations, software engineering, and broad knowledge of data analysis and practical machine learning.
Data Engineering and Analytics: Skilled at scalably transforming raw data into actionable insights through practical problem formulation followed by building of ETL processes (e.g. Python & Spark) and data visualizations (e.g. Tableau)
Business Acumen and Problem-Solving: Ability to understand the broader business context, solve complex problems, and communicate findings effectively to stakeholders.
Adaptability and Collaboration: Comfortable with ambiguity, eager to learn, and capable of working effectively in a collaborative environment. Strong interpersonal skills and the ability to build relationships with diverse stakeholders are essential.
Description（岗位职责）
We're looking for a proactive & impact-driven engineer with excellent machine learning, analytical, problem solving and communication skills. You will need to analyze high dimensional data to derive meaningful insights. You will be responsible for producing metrics, models, simulations, and tools for analysis & communication of insights from large datasets. To be successful in this role, you must have a strong foundation in statistical analysis and the ability to apply it to solving business & product-development problems. You must also have a software engineering background and be able to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to teams and influence decisions across Apple on a broad range of products.
Additional Requirements（额外要求）
M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field, with strong statistical skills and intuition
Proficiency in distributed compute & storage technologies such as HDFS, S3, Iceberg, Spark, and Trino
Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow)
Working knowledge of Operating Systems
Experience driving cross-functional projects with diverse sets of stakeholders
Skilled at connecting data insights to the company's overall strategy and objectives.
