Siri - Software Engineer (Graduate Position)
Cambridgeshire, United Kingdom
Machine Learning and AI
Siri is fast becoming the best way to get things done by talking to our devices. Hundreds of millions of people now use Siri to send a message, play their favourite song, or even take a selfie. Now imagine what could you do here. We are offering amazing graduate opportunities to work directly with our Siri R&D team in Cambridge. You'll collaborate with some of the best in the business to create new technology for the world's most innovative products and experiences. With your passion and dedication there's no telling what you could accomplish. Applications will close on November 19th 2019 and we anticipate a Summer 2020 start.
- Object-oriented software design and programming
- Interest in distributed, scaleable, online services
- Experience working in agile software development teams is desirable
As part of the Apple's Machine Learning and AI team, we transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data. Based in Cambridge, you'll work closely with people across Apple worldwide. You will join an extraordinary team, including world-class software engineers, renowned academics, and expert machine learning practitioners who are all passionate about applying groundbreaking techniques to conversational AI. As a member of the team you will work on the software services that people talk to when using Siri. You will add user impacting features to Siri and provide the software that supports and integrates our machine learning models within Siri’s architecture to make Siri more intelligent. To be successful you will love to build state of the art software. We're seeking engineers who are motivated to craft high quality software and have the ability to innovate creative solutions. Communicating clearly and having the flexibility to learn new technologies, while continuously developing skills will be key to your success. You will be a natural collaborator, comfortable with giving and receiving feedback and able to thrive in a dynamic environment. Is this you? Then we'd love to hear from you.
Education & Experience
Expected 2:1 or higher BS in Computer Science, Engineering, Applied Mathematics, or equivalent