Summary Posted: Jul 10, 2020 Role Number:200008956
Apple products and Siri work together beautifully to create amazing experiences. Supporting more languages and dialects than ever, we're driving the way people and devices interact. Through groundbreaking innovation Siri is always learning how to do more and at the heart of this is Natural Language Understanding.
Bring your passion to Apple and help continue this work. As a Machine Learning Scientist you will experiment and build new algorithms for implementing conversational dialogue with the overall goal of making Siri more intelligent. Working alongside leading scientific minds, you'll develop the next generation of Siri. Key Qualifications
- Familiar with state of the art NL processing models
- Machine learning fundamentals
- Software engineering skills
- Understand large-scale machine learned systems
- Publications in recognised NLP and/or machine-learning conferences
Description Working as part of an extraordinary team including hardworking software engineers and specialist machine learning practitioners, we are passionate about applying groundbreaking techniques to natural language processing. There are many difficult problems for us to solve, so we're open to new insights and ways of thinking.
We offer the opportunity to implement machine learning at scale and tackle all the complexities involved in taking research work through to production. You will love the 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 develop new NLP components and prototype solutions within the Siri system. You will provide technical expertise as well as direct hands-on contributions to model design, evaluation and reporting of scientific results. However you contribute, our goal is to make a real difference to the lives of Siri users.
If this is you, we'd love to hear from you. Education & Experience MSc or PhD in Machine Learning or a related topic (or equivalent practical experience)