AI/ML - Software Engineer (Full Stack), Siri Language Technologies

AI/ML - Software Engineer (Full Stack), Siri Language Technologies

AI/ML - Software Engineer (Full Stack), Siri Language Technologies

Job Overview

Location
Cambridge, England
Job Type
Full Time Job
Job ID
27995
Date Posted
1 year ago
Recruiter
Zara Davies
Job Views
112

Job Description

Key Qualifications

  • Passion for web based user experience design and APIs
  • Specialist in sophisticated and scalable single page web applications
  • Strong front-end development skills (e.g. JavaScript, TypeScript, React, Angular)
  • Solid understanding of design/UX principles
  • Ability to own and lead the development of product features from inception to deployment
  • Capable of translating high-level product direction into a detailed set of technical deliverables
  • Clear communicator able to collaboratively develop innovative solutions that elegantly solve user problems

Description

The Natural Language team is at the heart of improving Siri's capabilities and usability. The platform we build is used daily to make Siri more intelligent, context aware and able to understand a much broader set of user queries across a number of languages all while maintaining customer privacy. Your focus will be data management and annotation tooling for NLP or other machine learning applications. Deployed and run on cloud-native technologies such as Kubernetes, these tools improve the efficiencies of our teams and enable them to deliver next generation Siri experiences. Success will require you to anticipate and identify the needs of our customers, establish partnerships with other teams and drive the adoption of our solutions across our customers. Based in Cambridge, we work closely with teams across Apple worldwide. This means occasional evening meetings with teams outside the UK and limited international travel may be required in the future.If this is you, we'd love to hear from you!

Education & Experience

Strong computer science fundamentals required - no matter how you got them.

Job ID: 27995

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