SWE - Machine Learning Technical Lead, Data Engineering jobs in United States
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Apple · 3 hours ago

SWE - Machine Learning Technical Lead, Data Engineering

positionCalifornia, United States
timeFull-time
remoteOnsite
senioritySenior Level
money$181K/yr - $318K/yr
date7+ years exp

Apple is seeking a Machine Learning Technical Lead for their ML Data Ops team, which is focused on building high-quality ML datasets to support AI-centric features across various Apple products. The role involves establishing and executing strategies for ML data engines while collaborating with cross-functional teams to improve complex ML data pipelines and infrastructure.

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

Responsibilities

Establishing and executing the strategy for our organization’s ML data engine
Acquiring, synthesizing, annotating, and ensuring the quality of ML data
Driving numerous features in collaboration with R&D teams in Apple’s SWE organization

Qualification

Data infrastructure designLarge data pipelinesPython programmingTechnical roadmap designMentoring engineersRisk identificationCross-functional collaborationSelf-starter

Required

Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent practical experience
7+ years of industry experience as a software engineer, including 2+ years as a tech lead/architect specialized in data infrastructure

Preferred

Proven experience designing, automating and scaling large data pipelines (petabyte scale desired) using state of the art technologies
Expertise in Python or another modern programming language
Strong ability to design and lead a technical roadmap, work with cross functional teams and a diversity of profiles, proven capacity to influence and build alignment
Demonstrated prior experience in foundation models such as building data infrastructure supporting generative technologies
Self-starter, able to handle ambiguity, identify risks, mitigate, and autonomously find the right people and tools to get the job done
Proven track record of mentoring and growing engineers, lift the level of software engineering excellence in a ML data ops team typically focused on short term deliveries

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

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Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
dateFounded in 1976
location
Cupertino, California, USA
people-size10001+ employees
web-link
https://www.apple.com

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
Public Company
Total Funding
$5.67B
Key Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity

Leadership Team

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering

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