Data Scientist, AI/ML Model Quality

Apple Inc

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $139,500–$258,100 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k

This role $199k

$125k most similar roles pay here $272k

This role pays more than 50% of similar roles. Most pay $145,743–$236,900 — the shaded band above. At the midpoint, this role pays about $199k versus about $191k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

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At a glance

TL;DR · Data Scientist, AI/ML Model Quality

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As a Data Scientist specializing in AI/ML Model Quality at the senior level, you will join a team dedicated to ensuring the integrity of machine learning and generative AI systems across Wallet, Payments, and Commerce. Your daily responsibilities include curating gold-standard datasets for model evaluation, auditing training data for bias, defining observability metrics, and developing automated validation frameworks. You will collaborate closely with ML Engineering, Data Engineering, Privacy, and Legal teams to maintain the health of production datasets and ensure that every model is built on trustworthy data. Proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and distributed computing frameworks like PySpark is essential, along with a solid understanding of statistical methods for detecting data drift and bias. This role requires expertise in defining ML observability metrics and leading telemetry analysis to provide actionable insights across conventional ML and GenAI systems, ensuring the highest quality data-driven features for hundreds of millions of users.

Skills

Python Pandas NumPy Scikit-learn SQL PySpark Spark Tableau Apache Superset Databricks LangSmith MLflow Weights & Biases Bayesian methods Causal graph-based approaches Confidence calibration Uncertainty quantification CI/CD GenAI LLM

What you'll do

Curate and maintain gold-standard datasets for model evaluation.
Audit training data for bias and fairness before deployment.
Define and track key data quality metrics for engineering teams.
Design automated data quality rules integrated into CI/CD workflows.
Define ML observability metrics to provide actionable insights.
Develop observability dashboards for real-time model health monitoring.
Identify degradation patterns in GenAI systems through telemetry analysis.

What we're looking for

Bachelor's degree with 3+ years of experience in ML/AI model quality or related analytical roles.
Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for data analysis.
Experience querying large-scale datasets using distributed computing frameworks like PySpark.
Solid understanding of statistical methods including hypothesis testing and data drift detection.
Familiarity with GenAI systems and common quality failure modes.
Ability to define and track ML model health metrics in production environments.

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