8 days old

Siri - Machine Learning Engineer - Deployment - Apple

Cupertino, California

Summary

Posted: Jun 4, 2019

Weekly Hours: 40

Role Number: 200052275

The Siri Northstar group is building novel AI-based products and technology to make building those products easier. We work on features that become part of high-profile NLP products used by hundreds of millions of people, including Siri, Messages, News, and other products. We also work on novel methods and tools that make engineering AI products faster, easier, and more bug-free.

As part of this group, you will have access to exciting unique datasets, and use your statistical and systems-building skills to build software that has never existed before. Compared to other machine learning groups, we place an especially heavy emphasis on evaluation and systems-building skills.

A Deployment engineer designs, codes, and tests large-scale software systems that serve huge numbers of user requests. Although systems building skills are somewhat more meaningful than statistical and machine learning skills, the ideal candidate has both, or an enthusiasm for learning both.

Requirements

Key Qualifications

  • Extensive experience in designing software systems for AI-based products, such as search engines, recommendation systems, voice recognition systems, or question-answering systems.
  • Experience in writing large projects in Go, C/C++, or Java
  • Experience in designing, building, and evaluating statistical models, especially for NLP tasks
  • Excellent Communication and Collaborative Skills
  • Able to work as part of a fast, focused team 

Description

Excited about shipping products used by hundreds of millions of customers? Applying ground breaking technologies to build services that just work? If so, this might just be the place for you. Come work in an environment that will challenge you to push your limits, and train you to succeed as part of a team. Candidates must be willing to tackle demanding projects in the areas of semantic search, structured data, knowledge representation, and distributed architecture. Key to success will be the ability to deliver results, a passion for perfection, and a willingness to keep learning and improving oneself.

Education & Experience

  • Bachelor’s or Master's in Computer Science, with emphasis on large software projects; or equivalent work experience.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Categories

Posted: 2019-06-06 Expires: 2019-08-05

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Siri - Machine Learning Engineer - Deployment - Apple

Apple
Cupertino, California

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