AIML - Machine Learning Educator

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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.
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
  • 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
  • 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
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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