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Dfm Intern jobs at Apple in China, Shanghai

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Company (1)
Job type
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Job title (1)
China
Shanghai
22 jobs found
25.08.2025
A

Apple Machine Learning Engineer Intern - Shanghai China, Shanghai

Limitless High-tech career opportunities - Expoint
Description:
- Develop and implement automated pipelines for model training and evaluation.- Conduct experiments to evaluate the effectiveness of different models and algorithms.- Participate in code reviews, testing, and documentation to ensure high-quality and maintainable code.- Keep up-to-date with the latest advancements in machine learning and data science techniques.
  • Currently pursuing a degree or equivalent experience in Data Science, Computer Science, Applied Math or a related field;
  • Solid understanding of machine learning concepts, algorithms, and workflows;
  • Proficiency in Python programming, with experience developing ML solution from data interface, to library optimization and cross validations;
  • Familiarity with data analysis tools in Python like Pandas, NumPy, Matplotlib, and Jupyter notebooks;
  • Familiarity with industry leading ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc;
  • Basic knowledge of software development tools and version control systems (e.g., Git).
  • Self-motivated, responsible;
  • Available to join internship for 6-12 months, no less than 3 days a week;
  • This internship will be based on-site at our Shanghai office, providing you with the opportunity to work directly with our team, experience our company culture, and collaborate in person;
  • Experience of camera, optics or imaging is a plus;
  • Experience in data analysis and visualization with Matlab/Python/JMP;
  • Excellent communication skills, both verbally and written (In both Chinese and English);
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30.06.2025
A

Apple Machine Learning Engineer Intern - Shanghai China, Shanghai

Limitless High-tech career opportunities - Expoint
Description:
- Develop and implement automated pipelines for model training and evaluation.- Conduct experiments to evaluate the effectiveness of different models and algorithms.- Participate in code reviews, testing, and documentation to ensure high-quality and maintainable code.- Keep up-to-date with the latest advancements in machine learning and data science techniques.
  • Currently pursuing a degree or equivalent experience in Data Science, Computer Science, Applied Math or a related field;
  • Solid understanding of machine learning concepts, algorithms, and workflows;
  • Proficiency in Python programming, with experience developing ML solution from data interface, to library optimization and cross validations;
  • Familiarity with data analysis tools in Python like Pandas, NumPy, Matplotlib, and Jupyter notebooks;
  • Familiarity with industry leading ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc;
  • Basic knowledge of software development tools and version control systems (e.g., Git).
  • Self-motivated, responsible;
  • Available to join internship for 6-12 months, no less than 3 days a week;
  • This internship will be based on-site at our Shanghai office, providing you with the opportunity to work directly with our team, experience our company culture, and collaborate in person;
  • Experience of camera, optics or imaging is a plus;
  • Experience in data analysis and visualization with Matlab/Python/JMP;
  • Excellent communication skills, both verbally and written (In both Chinese and English);
Expand
Limitless High-tech career opportunities - Expoint
Description:
- Assist system EPM to lead multi-functional engineering teams towards completion of qualifications- Work closely with Quality, Engineering and Operations teams to complete qualifications- Succinctly communicate overall status of qualifications across functional team- Travel China domestically or to US to drive builds where needed
  • Pursuing Masters Degree in relevant field
  • Available to join internship/co-op full-time for 6-12 months
  • Excellent communication skills, both verbally and written (In both Chinese and English)
  • Preferred Senior student of degree specifically in Mechanical, Electronics Engineering, Material Science or Industrial/Engineering Management areas
  • Strong multidisciplinary, technical background
  • Experience in multi-tasking and project management
Expand
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