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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

12Open Positions

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Machine Learning Intern

Apple
Found 1 month ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Not disclosed
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • PyTorch
  • generative models
  • multi-modal foundation models
  • machine learning
  • deep learning
  • computer vision algorithms

Soft Skills

  • problem-solving
  • dedication
  • analytical thinking
  • communication
  • collaboration

Job Description

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. 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

Requirements

  • 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.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • vision foundation models
  • software engineering skills
  • developing code in larger codebases
  • Publication record at top conferences such as CVPR, ECCV, ICCV, NeurIPS or SIGGRAPH
  • Industry experience
▶Apply Now

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