ISE, Input Experience - NLP, Data Engineer

Cupertino, CA 95014
  • Job Code
    200232356
Summary

Summary

Posted: Jun 2, 2021

Weekly Hours: 40

Role Number:200232356

With hundreds of millions of users and billions of messages typed every day, Apple's software keyboard is among ...Summary

Summary

Posted: Jun 2, 2021

Weekly Hours: 40

Role Number:200232356

With hundreds of millions of users and billions of messages typed every day, Apple's software keyboard is among the most frequently used software on the planet. At Apple, you have an opportunity to shape the user experience for digital communication by building, evaluating and deploying machine learning models at scale to power text input.

The Input Experience NLP team builds the intelligent typing engine and language models behind features like autocorrection, predictive typing, spellchecking and handwriting recognition. Our vision is that anyone can pick up an Apple device and easily compose a message in the language of their choice and method of their choosing. We are looking for a creative and passionate data engineer who is excited about our product and values, to architect the process by which we deliver high quality, inclusive text input experiences for all of our customers and languages.

Key Qualifications

  • Experience in building data processing pipelines for curating data and training models
  • Experience in refining and scaling the machine learning life cycle while maintaining high quality
  • Proficient in Python or another modern programming language
  • Solid understanding of algorithms, data structures and coding standards
  • Excellent written and verbal communication skills
  • Self-starter, works well with ambiguity and identify the right people and tools to get the job done
  • Focused on the details that produce excellence
  • Curious and eager to learn new technologies and knowledge
  • Passion for natural language processing and internationalization

Description

You will be responsible for the design and development of the data pipelines, automation, visualization and tools that constitute the end-to-end process for building models, from raw data to trained model to evaluation to deployment. You'll partner with data infrastructure and data producing teams to ensure that we have high quality, representative data. You'll work with ML engineers to refine the modeling process to enable faster iteration and better modeling decisions and deploy models more rapidly to customers. You'll collaborate with data scientists and analysts to build insights from customer analytics and feedback into the process to complete the cycle of continuous improvement. Your work will impact hundreds of millions of Apple's customers and help people communicate more easily in the languages and modalities of their choice.

Education & Experience

BS in Computer Science, Engineering, Math, Statistics, or a related field, OR equivalent practical experience in data engineering

Additional Requirements

  • 4+ years of industry experience working with distributed data technologies for building efficient & large-scale data pipelines


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ISE, Input Experience - NLP, Data Engineer

Apple, Inc.
Cupertino, CA 95014

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