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.

DESCRIPTION

In this role, you will:

• Own the design and delivery of internal-facing ML technical learning curriculums that incorporate a variety of learning formats including, self-paced resources, virtual instructor-led courses, seminars, case studies, and more
• Partner with engineers and engineering managers to uncover, align on, and predict technical learning and development needs for areas like architecture, tools, standard processes, and skill advancement
• Manage your own projects with a high degree of independence, from scoping and planning to execution and iteration
• Demonstrate success of learning initiatives through defined metrics, measurement strategies, and reporting
• Develop and implement internal training strategies that align learning initiatives with business goals and values
• Develop deep intuition for business needs and build value through training that advances engineering priorities

MINIMUM QUALIFICATIONS

• Proficiency in core industry ML model types, ML frameworks, and Python
• Strong instructional design and delivery skills-you know how to turn technical depth into clear, engaging education
• Experience developing and delivering ML training for technical audiences of all skill levels
• Comfortable navigating ambiguity and evolving priorities
• Bachelor’s Degree in Computer Science, Software Engineering, or 6+ equivalent experience

PREFERRED QUALIFICATIONS

• Ability to develop training strategies, articulate their value, and expertly present them to leadership and partners to gain alignment and action
• Proven track record working individually and in teams, delivering under tight timelines, and successfully balancing multiple tasks
• Experience with engineering on Apple platforms

• Own the design and delivery of internal-facing ML technical learning curriculums that incorporate a variety of learning formats including, self-paced resources, virtual instructor-led courses, seminars, case studies, and more
• Partner with engineers and engineering managers to uncover, align on, and predict technical learning and development needs for areas like architecture, tools, standard processes, and skill advancement
• Manage your own projects with a high degree of independence, from scoping and planning to execution and iteration
• Demonstrate success of learning initiatives through defined metrics, measurement strategies, and reporting
• Develop and implement internal training strategies that align learning initiatives with business goals and values
• Develop deep intuition for business needs and build value through training that advances engineering prioritie