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AI/ML – Data Curation Engineer (Hebrew), Siri Languages and Technologies 71 views

Summary

Apple’s Machine Learning and AI team transform every Apple product and because they fully integrate hardware and software, they can collaborate to deliver amazing experiences while protecting user data.

The Siri and Languages Technologies team build high quality solutions for all of Apple’s international customers, and deliver them to their favorite Apple devices, in over 40 languages and dialects.

Join the company and drive data quality to help their language engineers bring Siri to more users than ever before.

Key Qualifications

Native speaker fluency and cultural awareness of Hebrew

Knowledge of text processing, scripting (e.g python)and automation

Highly organized with attention to detail and a commitment to quality.

Awareness of ML, NLP, TTS, or speech recognition technologies

Outstanding communication skills.

Project management skills, with cross-functional experience and ability to understand and prioritize tasks and issues.

Technical engineering, data science or machine learning background.

Description

The Global Siri team brings innovative solutions to complex engineering challenges, with focus on improving the end to end engineering and quality of Siri’s experiences for our international users. From Speech Recognition to Natural Language Processing, Machine Learning, Big Data consumption, all the way to Speech Synthesis. Be ready to develop robust scalable systems for Siri’s international languages, in partnership with a wide range of colleagues.

As a Data Curation Lead in Global Siri, you will drive and supervise several of the data curation efforts that fuel the pieces in Siri’s technology pipeline. This will include defining data curation specifications for your language, reviewing and ensuring data quality, reporting accuracy metrics, and documenting conventions and processes. You will also lead failure analysis exercises aimed at improving the quality of the end-to-end experience for Siri users in your market. This will include delivering hands-on data analysis tasks across the product’s stack, and triaging technical issues.

Apple is looking for demonstrated ability to be creative, take ownership of a project, and a knack for solving problems that stump most accuracy improvement projects. If you have a desire to work collaboratively in cross-functional teams with design, product, data science, and research partners they’d love to hear from you!

Education & Experience

B.A. or B.S. degree preferred, or experience in related fields

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