Computer Vision and Deep Learning Student - Imaging & Sensing Technology Group
Herzliya, Tel Aviv District, Israel
Machine Learning and AI
We are looking for a highly capable student to join our team and contribute to the development cycles and prototyping of new features for Apple products using innovative deep learning techniques
Success at Apple thrives on collaboration between highly skilled individuals in an environment that fosters creativity, teamwork, and fresh perspectives on established challenges. If this dynamic environment excites you, we encourage you to apply.
The Imaging & Sensing Technology Group at Apple develops computer vision (CV) solutions that power new features and form the building blocks behind Apple's remarkable products. We're seeking a Student in the field of Computer Vision wishing to join at full time post graduation.
Description
In this position, you will join a team of researchers developing cutting-edge algorithms for computer vision solutions and 3D sensing technologies.
Develop and test algorithms in the fields of machine learning, computer vision, and image processing.
Minimum Qualifications
Key Qualifications
- Strong understanding of machine learning, deep learning, Image processing, and computer vision.
- Experience with deep learning frameworks like TensorFlow, PyTorch, or similar.
- Proven programming skills in Python (C++ and Metal/CUDA are an advantage).
- PERSONAL ATTRIBUTES:
- Analytical, diligent, with a drive for problem-solving.
- Proficient in both written and verbal communication.
- Ability to work both autonomously and collaboratively.
- Passion for building functional and efficient prototypes.
Preferred Qualifications
Education & Experience
M.Sc. or Ph.D. (an advantage) in Computer Science or Electrical Engineering, with excellence in the domain of Computer Vision or a related field
Additional Requirements
- Please include your transcript when applying.
- Apple is an Equal Opportunity Employer committed to inclusion and diversity. We take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, and individuals with disabilities.