AIML - Applied ML Engineer, Data Generation u0026 Verification jobs in United States
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Apple · 2 hours ago

AIML - Applied ML Engineer, Data Generation u0026 Verification

Apple is where individual imaginations gather together, committing to the values that lead to great work. As part of Apple’s central data annotation engineering team, you’ll help build the next generation of AI-powered user experiences by enhancing the annotation quality capabilities of Apple's central data annotation platform.

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

Responsibilities

Work on a cloud-based system that supports machine learning model development across all Apple products
Combine backend engineering with research and concept development to improve how we measure, monitor, and optimize annotation and ML dataset quality at scale
Build systems that ensure high-quality training data while developing innovative approaches to quality assessment and feedback mechanisms
Collaborate on shared challenges and contribute to collective problem-solving efforts with a close-knit team of engineers focused on annotation quality initiatives
Contribute insights to push the boundaries of what's possible in large-scale data quality assessment

Qualification

Backend engineeringCloud-based servicesPythonMachine learningAWS servicesApplied statisticsData annotationWeb-based platformsDistributed systemsResearch publicationsCollaborationProblem-solving

Required

PhD in Computer Science, Machine Learning, Statistics, Math, Physics or related field, or 5 years of equivalent work experience
3+ years of backend engineering experience with cloud-based services
Proficiency in Python and/or Golang for backend development
Experience with AWS services including Lambda and RDS/Aurora
Strong foundation in applied statistics and machine learning fundamentals

Preferred

5+ years of experience in data annotation, data quality, or related ML value chain roles
Experience building and scaling web-based platforms for machine learning workflows
Advanced knowledge of statistical methods for data quality assessment
Experience with distributed systems and microservices architecture
Background in annotation workflow optimization
Track record of research publications or patents in data quality or machine learning
Experience working in cross-functional teams with both technical and non-technical stakeholders

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
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
Company data provided by crunchbase