Siri - Machine Learning Engineer (Internship)
Cambridge, 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. We are now offering amazing internship opportunities to work directly with our Siri R&D team in Cambridge. You'll collaborate with some of the best in the business to see how we create new technology for the world's most innovative products and experiences. The roles are expected to start in the summer of 2020, though alternative start dates are possible. Applications will close on November 19th 2019.
- Enrolled on an MSc or PhD course in computer science, engineering, applied mathematics, or equivalent
- Ability to work as part of a team
- Expertise with Machine Learning or Natural Language Processing (NLP), ideally in one or more of these areas: Natural Language Understanding (NLU), Natural Language Generation (NLG), Structured Prediction, Unsupervised Learning & Representation Learning, Text-to-Speech (TTS) or Question Answering
- ML libraries like TensorFlow, PyTorch, etc.
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. Our aim is to create an experience that allows you learn without pressure, gain practical skills, build real world experience, develop a greater understanding of our industry and form valuable connections. We will partner you with a dedicated mentor who is an authority in your specialist area. You and your mentor will collaborate to design and implement an innovative solution for an ML or NLP problem that is meaningful for Siri. At the end of your internship, you will have the chance to meet and present your work to the Siri leadership. Where appropriate, there may be the opportunity to submit your work for publication at a suitable conference.
Education & Experience
Enrolled on an MSc or PhD course in computer science, engineering, applied mathematics, or equivalent