Siri - Principal Scientist / Engineer (NLG)

Cambridge, Cambridgeshire, United Kingdom
Software and Services

Summary

Posted: 5 Dec 2018
Role Number: 200006930
"People with passion can change the world" The launch of Siri was a defining moment in the history of Artificial Intelligence. Hundreds of millions of people now use Siri to send a message, play their favourite song or even take a selfie. Now imagine what you could do here at Apple. At Apple we're driving a new revolution in the way people and devices interact. We are looking for an expert in Natural Language Generation to expand our NLP expertise and develop new functionality for conversational dialogue. Our ambition is to make a real difference to the lives of Siri users.

Key Qualifications

  • Expert in NLG
  • Machine learning fundamentals
  • Software engineering skills

Description

Working as part of an extraordinary team, including world renowned academics, top software engineers and expert machine learning practitioners, we are passionate about applying groundbreaking techniques to conversational dialogue. Siri processes more than a billion requests every week, so you will enjoy implementing machine learning at scale and you'll take on all the complexities involved in taking research work through to production. You will love the state of the art resources at Apple. Huge compute grids, top-quality machine learning tools, and large quantities of data will help you improve user facing features. Day to day you will be involved in developing NLG components and prototyping solutions within the Siri system. The job will involve model design, data preparation, engineering NLG machine-learned models and contributing to the reporting of scientific results. The overall goal is to help Siri be more intelligent. There are many difficult problems for us to solve, so we embrace new ideas and ways of thinking. If this is you, we'd love to hear from you. Desired Experience: - Large-scale machine learned systems - Publications in top-tier NLP and/or machine-learning conferences

Education & Experience

- PhD in Machine Learning or a related topic (or equivalent practical experience)

Additional Requirements