苹果Intern Opportunities at Apple (General) - October 2026 to September 2027
任职要求
Minimum Qualifications Full time students who are not yet graduated. Be able to commit at least 3 months full time (5 days per week) or 6 months part time (at least 3 days per week). It depends on the role you apply, for some roles, it might require longer period of time for internship. Clear communication with diverse teams, excellent written skill. For some intern roles, English proficiency is required. Great int…
工作职责
Multiple teams in Apple are looking for interns for FY'26 (Oct 2025 to Sep 2026), including Apple Greater China R&D, Asia Procurement & Operations, Finance, Ads Platforms etc. Welcome to join us! If there're any opportunities match your skills and experience, we will contact you. Location: Shanghai, Beijing, Shenzhen, Chengdu, Suzhou etc.
• Perform AI/ML study in terms of wireless testing data and reports for lab/living field in various countries; • Generate Large Language Module and report by AI/ML technology;
A successful candidate will have deep experience in applied methods (statistical analysis, predictive modeling, classification, impact measurement), experience building reporting dashboards, and using those methods and tools to drive key business insights. These insights include but not limited to market growth opportunities and strategies, product opportunities, and advertiser behaviors. The role requires data science skills (i.e., a broad knowledge of existing data mining algorithms), strong business acumen, and knowledge on mobile ads market. You’ll work closely with a broad range of data professionals as well as business leaders. You’ll be working on projects where tools and methods are used to drive real-world business value. - Support DI, Product, Marketing, Partner Development with analytics for customer insights and product opportunity areas. - Quantify the impact of product, sales, and marketing initiatives on customer happiness, and future behavior. - Manage business analytic projects through all phases, including data quality, data modeling, algorithm/KPI development, statistical analysis, data visualization, and presentation of results and deliverables. - Monitor usage metrics, understanding business-based explanations for large scale trends, and patterns in customer lifecycle behavior.
1. Send softcopy invoice, tax invoices & logistic supporting document to customer by request 2. Print and send hardcopy invoice, tax invoice & logistic supporting document to customer twice a week 3. Prepare and send AR summary to customer by daily basis 4. Send summary invoice to customer by daily and monthly basis 5. Prepare & Manage CN