About the position
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.
Responsibilities
- 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
Requirements
- 5+ years of professional experience blending advanced technical expertise in machine learning models, frameworks, and Python with engineering focused training and curriculum design
- Experience working with and educating engineers
- Strong instructional design and delivery skills—able to turn intricate ML concepts into clear, engaging educational content tailored specifically for an engineering audience
- Proven track record in creating and delivering sophisticated machine learning training programs for engineers across varying proficiency levels
- Skilled at thriving in dynamic environments, comfortable navigating ambiguity and managing shifting priorities
- Bachelor's Degree in Computer Science/Software Engineering or a related field, or 6+ equivalent industry experience
Nice-to-haves
- 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
