Company Name: Apple

Position: Machine Learning / AI Intern

Role Overview:

• Interns will be part of Apple’s Artificial Intelligence and Machine Learning organization (AIML).
• The role involves working on cutting-edge machine learning projects that can impact daily life while maintaining user privacy.
• Interns may explore new ML methods, solve complex problems, develop state-of-the-art technologies, and contribute to research or publications.

Degree Requirements:

• Must be working toward an undergraduate, graduate, or doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent.
• Doctoral degree paths are preferred for research-focused internships.
• At the end of the internship, interns must return to school or the internship should be their final graduation requirement.

Skills and Qualifications:

1. Essential Skills:
   • Proficiency in object-oriented programming languages such as Python, Swift, Objective C, or Java.
   • Experience with ML libraries like TensorFlow, PyTorch, CoreML, and Sklearn.
   • Knowledge of building and adapting ML algorithms for applications like speech, multimodal sensing, and more.
   • Strong mathematical skills in linear algebra and statistics.
   • Ability to collaborate and strong problem-solving skills.
2. Preferred Skills:
   • Experience with integrating research prototypes into production.
   • Proficiency in conducting ethnographic studies or analyzing human interaction with technology.
   • Experience in designing and conducting experiments and interpreting data.
   • Track record of publications in areas like statistics, econometrics, or optimization.
   • For research-focused roles: a doctoral degree in progress and experience publishing in peer-reviewed academic venues.

Internship Benefits:

• Collaboration with leading researchers and engineers.
• Mentorship and technical guidance.
• Opportunities to learn practical skills and gain industry knowledge.
• Potential to present work to AIML leadership.
• Possibility of submitting work to conferences for publication.

This opportunity is ideal for those looking to advance in the field of machine learning, whether through applied engineering or research-focused roles.