Hardware Technology, Research Scientist, Intern
Santa Clara Valley (Cupertino), California, United States
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, smart 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 unrivaled and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day. JOB SUMMARY: Apple’s Exploratory Design Engineering group is seeking an enthusiastic research scientist with emphasis in one of the following areas: computer science, computer vision, computational vision science, biomedical engineering, electrical engineering/control theory, or electrical engineering/signal processing. You will join a team of highly innovative scientists and engineers to design, validate and implement novel technologies. Ideal candidates will be self-driven and have initiative. They will have multi-disciplinary skills with a focus in problem formulation, and have a strong algorithm development background plus experience with human-in-the-loop experiment design.
- Experience with at least two of the following:
- Using system identification and robust control techniques in understanding stimuli-response relationships
- Developing and testing physiological models
- Designing and implementing subjective experiments, and collecting data for model development
- Experience designing and implementing image and video processing algorithms (Machine Learning and DNNs are a big plus)
- Knowledge of the human ocular system is highly desirable
- Familiarity with vergence/accommodation issues is a plus
- Experience prototyping in C++ or Python
- For Spring 2019 interns (January - April), students must be graduation May 2019 or later.
- For Summer 2019 interns (May - Aug/Sept), students must be graduating September 2019 or later.
- Design and implement human-in-the-loop experiments, to measure and model subjective responses - Perform cutting edge research on human vision - Communicate findings clearly, and work with engineers and scientists to tune technologies to create subjective effects
Education & Experience
The candidate should be - Pursuing a PhD or MSc. This will typically be in one of the fields mentioned in the job summary. However, candidates with strong modeling and computation backgrounds from other fields are also encouraged to apply - Experienced in modeling physiological systems - Comfortable iterating designs to optimize subjective metrics