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 AI/ML - Machine Learning Tools Engineer, Global Siri - Seattle, Washington, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Programming Languages
Computers - Other
Computers - Platforms
Computers - Software Engineer
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200300856 / Latpro-3832560 
Date posted: Dec-02-2021
State, Zip: Washington, 98199

Description

AI/ML - Machine Learning Tools Engineer, Global Siri

Seattle , Washington , United States

Machine Learning and AI

Summary

Posted: Oct 14, 2021

Role Number: 200300856

Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done - just by asking. Every day, our team works on ideas, software, and technologies that help Siri understand hundreds of millions of people, in dozens of languages, around the world. The goal of the Global Siri team is to take Siri to the next level of intelligence, capability, and performance by building machine learning and software engineering systems that scale globally to all languages, platforms, and devices. This intern will participate fully in a team that applies machine learning, data science, and software engineering approaches to improving Siri. Your work will involve building key systems that enable Siri engineers and scientists to rapidly improve speech recognition, natural language understanding, and text-to-speech systems in all languages.

Key Qualifications

  • "Full-stack" experience (backend, databases, CI/CD, frontend, UX/UI design) in building high-scale, highly available (99.99+) systems, ideally with streaming data and machine learning applications
  • Expertise in software engineering and passion for writing high-performance, reusable code for components that will be used across our product
  • Experience with writing full-stack web application code and working with database systems, big data processing, and backend infrastructure
  • Coursework or experience in machine learning, natural language processing, or information retrieval an asset
  • Useful languages/technologies: JavaScript, SQL, Python, Node, React, Spark, Airflow, Docker, Kubernetes, AWS

Description

You will join a team that is responsible for improving the end to end quality of Siri in all languages. The Global Siri team is passionate about finding using groundbreaking and innovative machine learning techniques to advance the state-of-the art in natural language understanding. You will work with large datasets, develop experiments with new approaches, implement prototypes and finally engineer your solution to be delivered in production systems.

Education & Experience

BS, MS in Computer Science, Computer Engineering, or equivalent degree with applicable experience



Requirements

See job description

 

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