Senior Machine Learning & Data Scientist, OS Power & Performance

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
104 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $214k
$135k most similar roles pay here $293k

This role pays less than 55% of similar roles. Most pay $178,562–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning & Data Scientist, OS Power & Performance

The Senior Machine Learning & Data Scientist, OS Power & Performance joins a team focused on analyzing high dimensional data to improve software and hardware performance. In this role, you will analyze large datasets to produce metrics, models, simulations, and tools for communicating insights that influence product development decisions across various products. You will be responsible for solving complex business problems through statistical analysis and writing production-level code. The required skillset includes a strong quantitative foundation in fields like Computer Science or Electrical Engineering, along with proficiency in Python, Spark, Tableau, HDFS, S3, Iceberg, Trino, Kubernetes, and Airflow. You will also utilize your knowledge of operating systems to transform raw data into actionable insights through the design of ETL processes and automated workflows to solve critical performance challenges.

What you'll do

  • Analyze high-dimensional data to derive meaningful insights for product performance.
  • Develop metrics, models, simulations, and tools to communicate findings from large datasets.
  • Apply statistical analysis to solve complex business and product-development problems.
  • Write production-level code to support data analysis and software systems.
  • Build ETL processes using Python and Spark to transform raw data into actionable insights.
  • Create data visualizations to communicate findings to various stakeholders.
  • Influence cross-functional decision-making across a broad range of Apple products.

What we're looking for

  • Education in Computer Science, Electrical Engineering, or a related quantitative field.
  • Master's degree or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or Statistics is preferred.
  • Strong mathematical foundations and knowledge of practical machine learning.
  • Ability to write production-level code with a strong software engineering background.
  • Proficiency in building ETL processes using Python and Spark.
  • Experience with data visualization tools like Tableau.
  • Proficiency in distributed compute and storage technologies such as HDFS, S3, Iceberg, Spark, and Trino.
  • Knowledge of operating systems and experience with automation/scheduling tools like Kubernetes and Airflow.

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