Red Note Jobs in Santa Clara, CA (NOW HIRING)

Help shape the next generation of generative AI at Apple. We're hiring data scientists to work on ambitious projects that will influence the future of Apple, our products, and the people who use them every day.
In this role, you'll apply product data science to the safety of Apple Intelligence - features like Siri, Image Playground and Genmoji, Writing Tools, Photos Clean Up, and many more on the way. As part of Apple's Responsible AI Team, you'll support generative AI features from early development through production, holding the line on quality, safety, fairness, inclusion, and user privacy. Your insights will directly shape how millions of people experience safety in Apple Intelligence.
Description
Apple's Responsible AI Team is the steward of product safety for Apple Intelligence. We set safety policy and partner with feature engineering teams to ensure every generative AI experience Apple ships reflects our values.
Our work spans three pillars: human and automated red teaming; pre-ship safety evaluation and post-ship monitoring; and the design of safety mitigations - overrides, guardrail models, and base model safety alignment. This role brings the data science lens to all three. You'll uncover and characterize safety weaknesses for red teaming, ground evaluations in real-world usage signal, and measure the in-production performance of the mitigations we deploy.
The is a role for someone who loves the full arc of applied data science: scientific investigation, careful interpretation, cross-functional collaboration, and crisp communication of what the numbers actually mean.
Preferred Qualifications
Experience working in the Responsible AI space.
Experience working with usage data from AI-powered products, and a current view on how these systems commonly fail.
A record of scientific research and publication.
Genuine curiosity about fairness and bias in generative AI, and a drive to make the technology more equitable.
Minimum Qualifications
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, A/B testing, and the full lifecycle of designing, running, and interpreting experiments.
Strong programming skills in Python and at least one data-querying language (SQL, Spark, or similar). Comfort with AI-assisted development tools such as Claude Code, Codex, or Copilot.
Track record of framing research and business questions, and answering them with the right statistical tools applied to messy real-world data.
Excellent technical communication skills, with a proven ability to explain hard ideas (especially causal ones) to audiences ranging from fellow data scientists to engineers to executive partners.
Willingness to work with highly sensitive material, including exposure to offensive and controversial content.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.