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 Data Engineer - Cupertino, California, 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: Engineering - Electrical
 
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: 200197945 / Latpro-3757195 
Date posted: Oct-08-2020
State, Zip: California, 95014

Description

Data Engineer

Santa Clara Valley (Cupertino) , California , United States

Hardware

Summary

Posted: Oct 7, 2020

Role Number: 200197945

Do you thrive on working at analyzing state-of-the-art deep learning algorithms? Do you have a passion for constructing automation pipelines? Are you highly organized and detail-oriented? As part of our Video Engineering group, you'll help deliver creative solutions to various problems that could impact the people all over the world. This Data Engineer will work closely with other members of the Video Engineering group to mine data, implement model evaluation pipeline, analyze large scale data, visualize data, and ensure the delivery is of the highest quality. This position will also require strong coding skills, presentation skills, and collaborating with multiple teams (ex: machine learning, cloud infrastructure support).

Key Qualifications

  • A curious mind
  • An obsession for quality
  • Background in Data science, Data mining, Multivariate statistics, Computer vision, Machine learning
  • Experience working with large scale data sets
  • Solid programming skills including:
  • Python
  • C/C++
  • Experience with data visualization and presentation, familiar with data analysis tools such as Tableau
  • Excellent problem solving and communication skills

Description

The responsibilities of this position includes the following for current and future products: - Implement algorithm evaluation methods - Analyze data and build data analysis tools - Deep-dive failure analysis - Discover new perspectives for old data - Produce / Present meaningful data visualization to higher-ups and across various involved teams

Education & Experience

PhD or Masters in Computer Science



Requirements

See job description

 

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