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Siri - Big Data Engineer at Apple Inc. (Cambridge, UK)

Want to work on the cutting edge of software engineering, machine learning and big data? Join Apples Siri team in Cambridge, UK, and be part of revolutionising human-machine interaction!

We are looking to hire an expert Big Data Engineer with strong technical skills to work on the processing, analysis and preparation of huge sets of data for use in training machine learned models for use in Siri. You will be joining a highly talented team of renowned academics, top software engineers and experienced machine learning practitioners to develop the next generation of Siri. We have access to incredible resources including huge compute grids, top-quality machine learning tools, and large quantities of data. We work together to push the boundaries of artificial intelligence with a single aim: make a real difference to the lives of the hundreds of millions of Siri users.

 

Key Qualifications:
Extensive software engineering and coding abilities
Passionate about Big Data technologies, including data exploration, visualisation, distributed processing, and applications at scale
Good experience in Scala or Java
Good experience with Spark and/or Hadoop
Experience with data pipelines for large quantities of data (Desired)
Understanding of data annotation and how ML models are trained (Desired)
Description
Good data is key to machine learned models. We engineer distributed data pipelines that power cutting-edge ML and data visualisations. Each commit you make has the potential to impact the lives of hundreds of millions of Siri users worldwide through the creation of better data.

Description:
The ideal candidate has a familiarity with data annotation and how it is used in building real world ML models, and in addition to experience in Scala and Spark, has written in scripting languages for visualising or annotating data.

Education:
BS or MSc in Computer Science (other relevant experience considered)

Additional Requirements:
Research experience involving the use or creation of datasets, corpora, and annotation is a plus.


by via developer jobs - Stack Overflow

 

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