AIML - Quality Engineering Manager, Responsible AI and Safety
- Location
- Cupertino
- Salary range
- USD $267,800 – $401,700 base
- Workplace
- In office
- Level
- Manager
- Job family
- AI Safety
- Posted
- Last week
The T&S Network estimates this role to be M3, Manager. The typical base salary for that level in Safety Engineering & Data Science is $190k to $270k at an employer this size in the San Francisco Bay Area. Key skills at this level: owns a detection system end to end, including its drift and its retraining, designs for adversarial pressure rather than for a static distribution, and sets evaluation methodology others in the company adopt.
Why this level
Estimated from the posting rather than stated by the employer: the posting states the level in its title · the title reads as M3 · asks for 5+ years · posts $268k to $402k base at a company over 5,000 in the San Francisco Bay Area.
The role, in T&S terms
Written by the T&S Network from Apple's posting.
Leads the Quality Platform Engineering function inside Apple's Responsible AI team, which gives Apple Intelligence engineering teams fast safety signal before code merges and extends safety testing coverage to every hardware platform and form factor Apple ships. The role is there to connect pre-merge testing with product evaluations and post-ship insights so findings turn into engineering decisions.
What you'd do
- Build and grow a team across test engineering, applied ML, and platform expertise, shaping its culture from the start
- Report pipeline health, coverage, and findings to non-technical stakeholders and represent the team at safety sign-off
- Decide which features, platforms, and form factors get coverage, and revisit those choices as risk and launch dates shift
- Drive down test turnaround time, infra cost, and flakiness so pre-merge signal stays useful in the dev loop
- Extend safety testing beyond iPhone and iOS to other Apple device categories, working with platform teams on hardware gaps
- Keep the team's pre-merge results consistent with Product Evaluations & Research ship-time metrics
What it asks for
- At least five years leading technical teams
- Hands-on work with ML evaluation, production ML systems, or large-scale test and CI infrastructure
- Strong production-quality coding skills in Python or similar
- Experience across multiple platforms or form factors, or proven fast ramp on unfamiliar ones
- Work with human-labeled or crowdsourced evaluation data, reasoning about label noise and rater agreement
- Responsible AI, AI safety, or trust and safety-adjacent engineering experience (preferred)
- Generative model evaluation and failure mode experience (preferred)
Worth knowing
- Occasional exposure to sensitive or policy-relevant content surfaced during testing
- Team wellbeing support around that content exposure
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Apple before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About Apple

The employer
About Apple
Media and streaming · Marketplaces and commerce · Cupertino, CA · More than 100,000 people · Founded 1976
Consumer hardware and software company, running the App Store, iMessage and iCloud.
Moderation, reported
Apple files its moderation decisions with the European Commission, separately for each service below. The newest we hold cover May 2026.
- App Store
- Apple Books (ebooks)
- Apple Podcasts Subscriptions
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