Machine Learning & Data Scientist, OS Power & Performance jobs in United States
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Apple · 4 months ago

Machine Learning & Data Scientist, OS Power & Performance

Apple is seeking a Machine Learning & Data Scientist to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users. The role involves developing data products to improve Apple’s software and hardware performance, requiring strong statistical analysis and software engineering skills.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Analyze high dimensional data to derive meaningful insights
Produce metrics, models, simulations, and tools for analysis & communication of insights from large datasets
Provide meaningful insights to teams and influence decisions across Apple on a broad range of products

Qualification

Machine LearningStatistical AnalysisData EngineeringPythonETL ProcessesData VisualizationDistributed ComputingCollaborationProblem SolvingCommunication Skills

Required

Strong Quantitative Foundation: Education in Computer Science, Electrical Engineering, or a related quantitative field. Strong mathematical foundations, software engineering, and broad knowledge of data analysis and practical machine learning are expected
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

Preferred

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

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation

Company

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

H1B Sponsorship

Apple has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)

Funding

Current Stage
Late Stage
Total Funding
$5.67B
Key Investors
Berkshire HathawayMicrosoftSequoia Capital
2026-01-10Pre Seed· $1M
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M

Leadership Team

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase