4 Months ago • All levels • $135,400 PA - $250,600 PA
Research Development
Job Description
AIML University at Apple is seeking a Machine Learning Educator to lead internal training, enablement, and technical onboarding. This role is centered around providing product-focused engineers with the necessary ML knowledge to develop high-quality machine learning features that enhance our customer’s lives. This high-impact, cross-functional position requires a combination of technical expertise, instructional design skills, course facilitation abilities, and strategic thinking. The educator will play a key role in shaping the internal learning roadmap and expanding ML knowledge throughout Apple.
Add these skills to join the top 1% applicants for this job
team-management
cross-functional
talent-acquisition
machine-learning
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. AIML University designs and delivers machine learning focused training and development opportunities for employees across Apple. We’re seeking a Machine Learning Educator to lead internal training, enablement, and technical onboarding. This role is focused on equipping our product-focused engineers with the ML knowledge needed to develop high-quality machine learning features that improve our customer’s lives. This is a high-impact, cross-functional role that combines technical depth, instructional design, course facilitation, and strategic thinking. You’ll influence the internal learning roadmap and how ML knowledge is scaled across Apple.
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