Description
This position requires highly-motivated individuals who want to join us working at the intersection of the fast-moving field of large-scale models and shipping Apple’s hardware projects. You will be responsible for developing, implementing, evaluating, and improving computer vision algorithms in complex and diverse scenarios. Potential internship areas:- Multi-modal foundation models- Model personalization- Neural simulation techniques - Power-efficient deep learning
Minimum Qualifications
- Currently pursuing an MS or PhD degree in Computer Science, or a related field. PhD Students are preferred for research-focused internships.
- At the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate.
- Strong understanding of generative models and/or multi-modal foundation models.
- Deep understanding in machine learning / deep learning fundamentals
- Fluency in Python and Machine Learning Frameworks (i.e. PyTorch) is required.
- Demonstrable problem solving and analytical thinking abilities.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Hands-on experience with vision foundation models.
- Strong software engineering skills and familiarity with developing code in larger codebases
- Publication record at top conferences such as CVPR, ECCV, ICCV, NeurIPS or SIGGRAPH is a plus.
- Availability for 6 months minimum is preferred.
- Industry experience is a plus.
