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Manufacturing Design Engineer Intern (AIML)
AppleShenzhen, Guangdong, ChinaOperations and Supply ChainIntern
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Apple Manufacturing Design Engineer (MDE) is accountable for driving the development of key mechanical manufacturing processes across Apple’s worldwide supply base. In this highly visible, hands-on role as the expert technical member of the Manufacturing Design Team you will have direct frequent communication and collaboration with Apple Industrial Design, Product Design, Manufacturing Design partners and worldwide suppliers.
Experienced Machine Learning Engineer to help:
(a) Extract value from manufacturing data and apply the AI/ML technologies (e.g. classification, regression) into the real-world production. Lead all the processes from requirement analysis, data collection, cleaning, and preprocessing, to training models and deploying them into production.
(b) Set up AI agent by applying LLM(e.g. Chat GPT, Gemini etc.) for automating repetitive work in office.
- Collaborate with process/factory teams to analyze key engineering problems and develop innovative ML solutions to the problems
- Design and scale up advanced machine learning models that solve real-world problems and validate ML solutions end-to-end
- Apply Gen AI fundamentals(MCP/RAG/Agent/Projects/Skills) to establish MDE specialized AI agent and improve daily work efficiency
- Connect with other AI/ML teams within Apple or within suppliers and be manufacturing team advisor for the ML application
- Ability to work in team-based environment
- Strong written and verbal interpersonal skills in English
- Strong AI fundamentals with project experience in applying LLM to improve work efficiency or applying machine learning to improve process capability
- Basic engineering skills: tolerances analysis, design for assembly (DFA), design for manufacturing (DFM), simple fixture design, understanding of Statistical Process Controls (SPC), understanding of metrology (basic knowledge of measurement systems)
- Able to be based in Changsha or Shenzhen
- Minimum 6 months full time for internship projects
- 2nd or 3rd year in MS or PhD in mechanical, manufacturing or data science related preferred
- Experience: Machine Learning, Computer Science, Data Science, Statistics, or related areas
- In-depth knowledge in deep learning (DL) and statistical machine learning (ML).
- Practical experience in at least one of the following domains: time series forecasting, anomaly detection, search and recommendation systems, feedback control, interpretable machine learning or computer vision
- Proficiency in programming languages like Python
- Experience working on Linux and macOS based platforms
- Hands-on experience working with deep learning toolkits such as Scikit-Learn, AutoGluon, PyTorch or TensorFlow
- Demonstrated ability to conduct innovative research and publish findings in top-tier conferences and journals
- Strong motivation, curiosity, passion, creativity
- Excellent presentation skills
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