Data Scientist, AI/ML Model Quality

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

$140K-$258K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

78% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist, AI/ML Model Quality Austin, United States of America Would you like to contribute to Machine Learning and Generative AI technologies? Are you passionate about the integrity of the data that powers AI systems at scale? Do you believe that trustworthy data is the foundation of every great model? We truly believe it is! We are defining what exceptional data quality looks like for machine learning across Wallet, Payments, and Commerce. As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems, validation frameworks, and monitoring pipelines that keep our data ecosystem healthy - ensuring that every model we build is trained, evaluated, and deployed on data we can trust. Your work sits at the foundation of every ML feature that reaches hundreds of millions of users. You'll work at the intersection of statistical rigor and production systems, collaborating closely with ML Engineering, Data Engineering, Privacy, and Legal teams. This unique opportunity puts you at the center of ML and AI quality - owning the health of training and validation datasets, defining and analyzing observability metrics to surface actionable product insights, and leading telemetry analysis across GenAI workflows - ensuring Apple's financial features are built on the highest-quality data, whether powering conventional ML models or the latest generative AI systems. The ideal candidate is a detail-obsessed data scientist who understands that model quality starts long before training - it starts with the data. You have strong statistical instincts, know how silent degradation and data drift manifest

Read the full description at jobs.apple.com. FewerJobs shows a preview and links to the original posting.