Apple
Data Scientist, AI/ML Model Quality
$150K–$278K
Austin, Texas +1 · Full-time · Posted Sep 10, 2026
- Location
- Austin, Texas
New York City, New York - Experience
- 3+ years in data science or a closely related analytical role.
- Education
- Bachelor's degree with exceptional hands-on experience in ML/AI model quality or applied research, or an M.S. or Ph.D. in a related quantitative field; strongly preferred.
About the job
Owns data quality, model observability, and GenAI telemetry for ML systems supporting Wallet, Payments, and Commerce.
What you'll do
- Curate and maintain ground-truth datasets; audit data for bias and fairness issues.
- Define data quality and ML observability metrics, automated checks, dashboards, and reporting workflows.
- Analyze ML and GenAI telemetry to detect drift, degradation, and failure patterns and recommend improvements.
What they ask for
- 3+ years of experience in data science or a closely related analytical role, focused on data quality, model evaluation, or production ML observability.
- Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
- Experience analyzing large-scale datasets with distributed computing frameworks such as PySpark, Spark, or distributed SQL.
- Strong understanding of statistical methods and experience monitoring ML model health in production; familiarity with GenAI or LLM systems.
Nice to have
- Experience with data visualization or dashboarding tools, LLM evaluation frameworks, or ML monitoring platforms.
- Experience with synthetic data methods, uncertainty quantification, privacy-constrained or regulated data, or financial services.
Pay
$150,400 and $277,600 USD base pay
Tools
Python, Pandas, NumPy, Scikit-learn, SQL, PySpark, Spark, Tableau
AI focus
Data quality, fairness auditing, evaluation, observability, and telemetry analysis for conventional ML and GenAI systems.
Model-written summary · the original posting is authoritative