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, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product.
Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day. The Camera Hardware Engineering group is responsible for all research, design, development, test and qualification of camera hardware for Apple products. Within the Camera Semiconductor Technologies team, you will be working with both local Grenoble and Cupertino teams to enable next generation sensing technologies.
Description
As an intern, you will:
- Be involved in a development team working on next-generation laser and/or image sensor components.
- Develop more effective software tools/applications to streamline or conduct data review for large-volume engineering and mass-production data.
- Perform data analysis and correlation study for large-volume data by levering strong statistics data analysis skills and machine learning/data mining
- Provide regular updates to internal multi-functional teams.
Minimum Qualifications
Currently enrolled in a Master's / PhD Degree program in Computer Science, Data Science, Electrical Engineering or related.
At the end of the internship, you must return to school to continue your education or the internship must be a requirement for you to graduate.
Strong programming/coding skills (Python)
Database and data acquisition knowledge
Strong data analysis skills and ML/data mining background
Strong written and verbal communication in English.
A curiosity to learn new things and take up new challenges.
Strong problem solving and interpersonal skills.
Passionate about collaborating within a multi-functional team environment.
