Summary
Posted: Dec 14, 2022
Role Number: 200446626
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. We would like to offer the unique opportunity to be a part of the Human Interface Devices organization at Apple – we get to work closely with hardware teams and tackle many different challenges around devices with embedded sensors and sensing firmware & software (e.g. biometrics, health, input sensing areas). Join the team that played a key role delivering Touch ID to users around the globe. This is an outstanding opportunity to shape the future of sensing algorithms running inside a wide range of Apple products.
Key Qualifications
Strong Python programming skills
A proven understanding of image processing or pattern recognition and machine learning
Understanding of statistical theory and applications.
Ability to initiate and drive experiments to completion with minimal guidance including the ability to distill complex analysis into concise summaries and clear conclusions
Strong analytical and problem solving skills
English language proficiency and strong communication skills
Available for 3 months or more
Description
You will be responsible for generating key insights and data-driven recommendations to design and improve algorithms processing data from sensors. You will be working within a team researching and developing strategic algorithms for next generation products.
Education & Experience
Currently enrolled in your penultimate year of studies in a quantitative technical field i.e. computer science, mathematics, computer engineering, data science or statistics.
Additional Requirements

Leave your comment

Your email address will not be published. Required fields are marked *