AI/ML - Full Stack Engineer (SPA), Siri Understanding
Cambridge, Cambridgeshire, United Kingdom
Machine Learning and AI
Siri is fast becoming the best way to get things done by talking to our machines through artificial intelligence. Hundreds of millions of people now use Siri to send a message, play their favourite song, or even take a selfie. Imagine what you could do here. We're looking for a passionate full-stack software developer who loves to build cutting edge software and has a passion for data and language to help take Siri to the next level.
- Object-oriented software design and programming
- Experience with single page apps (SPA), ideally building annotation tools and/or visualisations for linguistic data (any NLP a plus)
- Development of fault-tolerant, scalable online services end-to-end
- Working knowledge of big data technologies (e.g. Spark, Hadoop) a plus
- Agile software development
You will be working as part of 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 dialogue. You will work closely with data scientists to develop the new annotation and data tools that Apple uses internally for building the next generation of a more intelligent Siri. This requires a complex UI for the Machine Learning projects to help visualise tough concepts. Used by many users we develop fault tolerant scalable services. The real time nature of the platform will require you to ensure a high level of uptime. Your work will directly benefit to the user experience. Based in Cambridge, we collaborate with teams across Apple worldwide and you will join our Agile development teams working on client server design. You will have strong technical skills, a drive for high quality software and the ability to innovate creative solutions. Communicating clearly and having the flexibility to learn new technologies, while continuously developing your skills will be key to your success. You will fit into our teams, be a fantastic collaborator, comfortable with giving and receiving feedback and able to thrive in a dynamic environment. If this is you, we'd love to hear from you.
Education & Experience
BA/BS or MS in Computer Science or equivalent experience