Data Scientist, Responsible AI, Product Insights

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
132 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $255k
$157k $343k
below market most similar roles pay here above market

This role pays more than 79% of similar roles. Most pay $184,862–$254,750 — the blue band above. At the midpoint, this role pays about $255k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Data Scientist, Responsible AI, Product Insights

The AIML - Data Scientist, Responsible AI, Product Insights joins the Responsible AI Team to ensure the safety of Apple Intelligence features like Siri, Image Playground, and Writing Tools. This role applies product data science to support generative AI from early development through production, focusing on quality, safety, fairness, inclusion, and user privacy. Key responsibilities include human and automated red teaming, pre-ship safety evaluation, post-ship monitoring, and designing safety mitigations such as guardrail models and base model safety alignment. The successful candidate will use Python, SQL, and Spark to perform statistical analysis, A/B testing, and experiment design. The work involves uncovering safety weaknesses, grounding evaluations in real-world usage signals, and measuring the in-production performance of mitigations to ensure equitable technology.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

What you'll do

  • Identify and characterize safety weaknesses for human and automated red teaming.
  • Conduct pre-ship safety evaluations and monitor post-ship performance of generative AI features.
  • Design and measure the effectiveness of safety mitigations, including guardrail models and base model alignment.
  • Analyze real-world usage signals to ground safety evaluations and performance metrics.
  • Apply statistical analysis and A/B testing to interpret messy real-world data.
  • Communicate complex technical and causal insights to engineers and executive partners.
  • Ensure generative AI features meet standards for quality, safety, fairness, inclusion, and privacy.

What we're looking for

  • MS or PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
  • Strong foundation in data science, analytics, and machine learning, including statistical analysis and A/B testing.
  • Proficiency in the full lifecycle of designing, running, and interpreting experiments.
  • Strong programming skills in Python and at least one data-querying language like SQL or Spark.
  • Comfort with AI-assisted development tools such as Claude Code, Codex, or Copilot.
  • Proven ability to frame research questions and apply statistical tools to messy real-world data.
  • Excellent technical communication skills to explain complex causal ideas to diverse audiences.
  • Experience in Responsible AI, AI-powered product usage data, or scientific research and publication (preferred).

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