Computer Vision and Deep Learning Student - Imaging & Sensing Technology Group

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Job Title: Computer Vision and Deep Learning Student - Imaging & Sensing Technology Group

Company: Apple

Location: Cupertino, CA

Role Number: 200552289

Posted Date: May 21, 2024

Summary:

Join Apple's innovative Imaging & Sensing Technology Group as a full-time Student post-graduation. Dive into the exciting world of computer vision (CV) and contribute to the development and prototyping of new features for groundbreaking Apple products using advanced deep learning techniques.

If you thrive in environments that champion creativity, teamwork, and novel approaches to complex challenges, we encourage you to apply for this dynamic role.

Key Qualifications

  • Strong foundational knowledge in machine learning, deep learning, image processing, and computer vision.
  • Experience with leading deep learning frameworks like TensorFlow or PyTorch.
  • Proven programming proficiency in Python; additional experience with C++ and Metal/CUDA is beneficial.

Personal Attributes:

  • Highly analytical and diligent with a strong penchant for problem-solving.
  • Excellent written and verbal communication skills.
  • Ability to work effectively both independently and as part of a team.
  • Passionate about developing functional and efficient prototypes.

Role Description:

As a member of our dedicated team, your role will involve:

  • Developing and testing innovative algorithms in machine learning, computer vision, and image processing.

Education & Experience

Candidates should have an M.Sc. or Ph.D. in Computer Science or Electrical Engineering, preferably with a specialization in Computer Vision or a closely related field.

Additional Requirements:

Please include your academic transcript when applying.

Apple is committed to diversity and inclusion. We promote equal opportunity employment and take affirmative action to ensure all applicants, including minorities, women, and individuals with disabilities, receive fair and impartial consideration for employment opportunities.