AIML Data Scientist, Responsible AI, Product Insights

Apple Inc

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k
This role $255k
$157k most similar roles pay here $343k

This role pays more than 78% of similar roles. Most pay $195,431–$254,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $225k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

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

AIML - Data Scientist, Responsible AI, Product Insights will join the Responsible AI Team to ensure the safety of generative AI features like Siri and Writing Tools. This role applies product data science to maintain quality, safety, fairness, inclusion, and user privacy throughout the development lifecycle. You will perform scientific investigations, conduct red teaming to uncover safety weaknesses, ground evaluations in real-world usage signals, and measure the performance of deployed mitigations such as guardrail models and base model alignment. The role requires expertise in statistical analysis, A/B testing, and experimental design using Python and data-querying languages like SQL or Spark. You will also utilize AI-assisted development tools to address complex problems involving fairness and bias in generative AI systems while communicating technical insights to engineers and executive partners regarding messy real-world data.

What you'll do

  • Identify and characterize safety weaknesses in generative AI features for red teaming efforts.
  • Ground safety evaluations in real-world usage signals to ensure product quality and fairness.
  • Measure the in-production performance of safety mitigations such as guardrail models and overrides.
  • Design and interpret experiments using statistical analysis and A/B testing on messy, real-world data.
  • Develop technical insights regarding safety, inclusion, and privacy for Apple Intelligence features.
  • Translate complex data findings into clear communications for engineers and executive partners.
  • Analyze usage data from AI-powered products to identify common failure modes.

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.
  • Experience with the full lifecycle of designing, running, and interpreting experiments.
  • Proficiency in Python and at least one data-querying language like SQL or Spark.
  • Comfort using 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 ideas to diverse audiences including engineers and executives.
  • Willingness to work with highly sensitive material, including offensive and controversial content.

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