Machine Learning Engineer Intern (Start ASAP)

Your Role

Key responsibilities are as follows:

• Collaborate with senior engineers to design and develop machine learning tools for data processing, analysis, and visualization.
• Integrate and validate machine learning models in Apple's new product introduction and mass production processes.
• Develop and implement automated pipelines for model training and evaluation.
• Conduct experiments to assess the efficiency of various models and algorithms.
• Participate in code reviews, testing, and documentation to ensure high-quality, maintainable code.
• Stay updated with the latest advancements in machine learning and data science techniques.

About You

The ideal candidate will have:

• Currently pursuing a degree in Computer Science, Electrical Engineering, Data Science, or a related field.
• Solid understanding of machine learning concepts, algorithms, and workflows.
• Proficiency in Python programming, with experience in ML libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Familiarity with data analysis tools in Python like Pandas, NumPy, Matplotlib, and Jupyter notebooks.
• Basic knowledge of software development tools and version control systems (e.g., Git).
• Self-motivated and responsible.
• Availability for a 6-12 month full-time internship.
• Based on-site at our Shanghai office, with excellent communication skills in both Chinese and English.
• Knowledge of imaging and color science is a plus.

Benefits

Competitive compensation package with potential bonuses, healthcare benefits, and access to Apple's employee perks.

Training & Development

Opportunities for professional development through mentorship and hands-on experience with industry-leading technologies.

Career Progression

Potential for career advancement within Apple, with opportunities to grow into more senior engineering roles.

How to Apply

Submit your application by completing the required form and providing your resume and cover letter. Ensure all documents are up-to-date and reflect your relevant experience.

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