Computer Vision and ML R&D Student - Imaging & Sensing Technology Group

Key Skills

C Programming, C++, Computer Vision (CV), Image processing, Machine learning techniques, Python Programming, PyTorch, Sensor fusion Algorithms, TensorFlow, Unix Operating system

Job Description

The Imaging and Sensing group at Apple is looking for a Computer Vision R&D student to creatively research, prototype and enable bleeding edge future Apple technologies and products based around depth, geometry and vision for Photography features. Our group develops and contributes to major Apple products such as the TrueDepth camera, Cinematic Mode, Portrait Mode, ARKit Scene Reconstruction and many more. This multi-disciplinary group of engineers is responsible for architecture, design, and development of these highly complex sensing systems for many of Apple's greatest shipping products. We are looking for a creative and dedicated computer vision machine learning student, optimally with experience in stereo-vision, depth technologies, camera calibration, optimization and deep learning. As a member of a fast-paced team, you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every day.

YOUR JOB RESPONSIBILITY WILL INCLUDE

• Develop and deliver high quality computer vision algorithms for existing and future Apple products. As a Computer Vision and ML R&D Student you will be responsible for exploring and prototyping on top of current and future technologies and products at Apple. 
• The role requires you to have a deep curiosity and ability to understand complex software flows and neural networks design and validation while abstracting their core functionality to produce high quality concepts and prototype demos. Non-trivial research of cutting edge methodologies in stereo imaging, synthetic data, depth processing and neural networks optimization will be core parts of your day to day work. 
• A basic familiarity with camera sensors (pinhole model, stereo) and machine learning and deep learning concepts are required as these form a basis for a lot of the work in the group. 
• Cooperating with your team members to prepare presentations, papers, and talks to explain your inventions.

Key Qualifications

• M.Sc. or P.hd. student
• Academic experience and or thesis in computer vision or machine learning
• Profound knowledge in deep learning techniques combined with practical experience with TensorFlow, PyTorch or similar
• Experience in Python development
• Experience with C/C++/ObjectiveC/Swift and Unix environments - an advantage
• Experience in camera calibration - an advantage
• Familiarity with depth sensing technologies - an advantage
• Highly motivated, curious, creative and proven capability to work in a group and also handle tasks independently
• Expected to be innovative, think out of the box & have a strong drive for excellence

Description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, hard-working people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple products Do you love working on challenges that no one has solved yet? Our group develops depth sensing systems such as the ground-breaking True Depth camera that powers Face ID. This group is responsible for architecture, design, and development of these highly complex sensing systems for all Apple products.

Education & Experience

• Student towards an M.Sc. or Ph.D. in Computer Science, Electrical/Biomedical/Software Engineering with focus on the domain of Computer Vision, Machine Learning or similar.