ML Data Operations Lead, Wallet, Payment & Commerce jobs in United States
cer-icon
Apply on Employer Site
company-logo

Apple · 1 month ago

ML Data Operations Lead, Wallet, Payment & Commerce

positionAustin, Texas, United States
timeFull-time
remoteOnsite
senioritySenior Level
money$181K/yr - $318K/yr
date5+ years exp

Apple is seeking an ML Data Operations Lead to establish and scale Data Curation, Generation and Synthesis across Wallet, Payment, and Commerce. The role involves architecting privacy-preserving pipelines for accelerated ML development and collaborating closely with various teams to shape data operations strategy that impacts features used by millions.

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

Responsibilities

Develop synthetic data generation pipelines and augmentation techniques while maintaining or exceeding model performance. Build and optimize tools for scalable data synthesis
Build evaluation frameworks to measure synthetic data quality across fidelity, diversity, privacy preservation, and model utility
Architect and implement feature-specific ML Data Ops strategies, including tooling, infrastructure, and automation
Develop and maintain automated quality tracking dashboards with continuous monitoring and alerting
Collaborate with Privacy, Legal, Product, and Engineering teams to ensure data quality meets Apple's standards through documentation, automation, and continuous monitoring
Collaborate with vendors to calibrate annotation tasks and establish quality metrics. Develop and maintain quality tracking dashboards and automation
Partner with Engineering Managers and Program Managers to build a balanced technical roadmap addressing immediate data needs while advancing privacy-preserving ML infrastructure and synthesis capabilities

Qualification

Machine Learning pipelinesSynthetic data generationData augmentationData quality assuranceData explorationProgram/project managementScripting skillsInfluencing skillsProblem-solvingRelationship building

Required

Bachelor's degree in Computer Science, Engineering, Statistics, or related quantitative field; or equivalent practical experience building ML systems
5+ years of experience in driving the design and development of data infrastructure and machine learning pipelines as an ML Engineer, MLOps Engineer or Data Engineer
Hands-on experience designing and deploying synthetic data generation systems using modern techniques (e.g., GANs, VAEs, Diffusion Models, or LLM-based synthesis) with demonstrated impact on model performance or data cost reduction
Experience in data augmentation for a variety of data types
Experience with data exploration, data science, and analytical domains, including familiarity with a wide range of unstructured and semi-structured data assets
Familiarity with Machine Learning (ML development lifecycle, typical data workflows, and model metrics) and understanding of how data fits into ML
Excellent problem-solving and program/project management skills
Demonstrated capacity to build solid relationships across organizations and functions (R&D, privacy and legal, tools & infrastructure)
Scripting skills to automate tasks, compute metrics and explore use of workflows combining ML and human inputs

Preferred

Demonstrated ability to handle complex and large scale data ops projects (annotation, collection or QA)
Expertise in identifying erroneous, fraudulent or low quality data
Familiarity with pioneering ML techniques, including generative technologies (transformer architecture, computer vision, diffusion models, and multi-modal architectures)
Experience in understanding and managing Engineering tools & infrastructure and influencing cross-team roadmaps to align with team/project needs
Demonstrated talent for effecting change and driving results through influence, and an ability to navigate complex organizational structures to foster collaboration across functions
Master's degree or PhD in Computer Science, Data Science, Statistics, AI/ML, or related field
Familiarity with Bayesian/Causal graphs for data generation

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

twittertwittertwitter
Glassdoor4.2
company-logo
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

leader-logo
Tim Cook
CEO
leader-logo
Craig Federighi
SVP, Software Engineering

Recent News

Venrock
Venrock Portfolio
2025-12-01
IndiaTimes
Apple TV+ pulls Jessica Chastain’s "The Savant" just days before premiere
2025-09-25
Mac Daily News
Jessica Chastain: I respect Apple’s decision to pause the release of ‘The Savant’ or something
2025-09-25
Company data provided by crunchbase