Apple
AIML - Quality Engineering Manager, Responsible AI and Safety
$238K–$402K
Cupertino, California · Manager · Full-time · Posted Oct 20, 2026
- Experience
- 5+ years of technical team management or leadership experience.
- Education
- MS or PhD in Computer Science, Machine Learning, Statistics, or related field, or equivalent experience (preferred).
About the job
Leads Quality Platform Engineering for Responsible AI, building a team and safety-testing infrastructure that gives Apple engineering teams reliable pre-merge signals across products and hardware platforms.
What you'll do
- Hire and develop a team spanning test engineering, applied ML, and platform expertise, and build its culture.
- Set testing priorities and improve pipeline speed, cost, reliability, and platform coverage.
- Report safety risks and pipeline findings to leadership, and align pre-merge testing signals with ship-time evaluations.
What they ask for
- 5+ years of technical team management or leadership experience.
- Experience with ML evaluation, production ML systems, or test/CI infrastructure at scale.
- Strong engineering skills and experience writing production-quality code (Python or similar).
- Experience with human-labeled or crowd-sourced evaluation data, including label noise and inter-rater agreement.
Nice to have
- Experience in Responsible AI, AI safety, or trust & safety-adjacent engineering.
- Experience with generative model evaluation and common failure modes.
Pay
$237,600 and $401,700 (base salary range)
Tools
Python
AI focus
Applies ML and safety-testing methods to evaluate generative models and production ML systems, improve pre-merge safety signals, and support responsible AI across platforms.
Model-written summary · the original posting is authoritative