Machine Learning Intern

Vor 2 Tagen

München, Deutschland Apple Vollzeit

At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion for problem-solving and dedication to your job, and there's no telling what you could accomplish. We advance the state of the art to improve the lives of our customers worldwide.

The Video Computer Vision (VCV) team is dedicated to fundamental and applied research in computer vision and machine learning. Our team delivered the gaze tracking system fundamental to the Apple Vision Pro and continues developing solutions for Apple’s next generation products. We are seeking a research intern who is passionate about shaping the future of Apple products and excited to contribute to the next wave of transformative computer vision experiences.

**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

**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.

**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.

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

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