Siri - Data Engineer at Apple Inc. (Seattle, WA)

Job Summary:
Would you like to play a part in the next revolution in human-computer interaction? Contribute to a product that is redefining way people and devices interact and work with the people who built the intelligent assistant that helps millions of people get things done just by asking?

Using data as the voice of our customers, you will improve Siri by using data to inform the evolution of Siri. We're looking for a passionate individual able to improve the processing, analysis and preparation of huge data sets used to train Siri's machine learned models. You will love big-data technologies, including data exploration, visualisation, distributed processing, and applications at scale.

Key Qualifications:
Spark
Scala
Python

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 and good data is the at heart of this engine. Each commit you make has the potential to impact Siri users worldwide through the creation of better data. Our work powers state of the art machine learning models and data visualisations. You will engineer distributed data pipelines and use your understanding of data annotation and how it is used in building real world ML models to improve our systems. To bring new ideas and innovation any research experience involving the use or creation of datasets, corpora, and annotation is a plus.

If this is you, we'd love to hear from you.

Education:
Degree in Computer Science or equivalent

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

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