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Apple AIML - Machine Learning Educator United States, California, Cupertino 497356158
Yesterday
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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.
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
- 5+ years of professional experience blending advanced technical expertise in machine learning models, frameworks, and Python with engineering focused training and curriculum design. The ideal candidate should have experience working with and educating engineers.
- Strong instructional design and delivery skills—you know how 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.
- 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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