26 days old

Data Scientist (Machine Learning)

Cupertino, CA
  • Job Code
    200076374
  • Jobs Rated
    7th
Summary

Summary

Posted: Sep 18, 2019

Weekly Hours: 40

Role Number: 200076374

The data scientist will work on current and future products for our computer vision team in the following ways:
DEEP-DIVE FAILURE ANALYSIS:
- Discovering failure patterns from data
BUILD TOOLS FOR ANALYZING DATA:
- Produce data visualizations to communicate up and across the company
- Design of Experiment (DOE) for engineering studies and large scale user studies
CONDUCT/SUPPORT DATA COLLECTION AND ANALYSIS WITH OTHER GROUPS: - Help define feature specs and expected user experience based on data

Key Qualifications

  • 3+ years experience in data science and large scale data processing/analytics
  • Solid programming skill with Python, or C++
  • Experience with databases- SQL and NoSQL
  • Experience with data visualization and presentation
  • Background in data science or multivariate statistics
  • Background in Computer vision and/or supporting computer vision based products (Preferred)
  • Excellent analytical and interpersonal skills
  • Ability to communicate the results of analyses in a clear and effective manner

Description

The Computer Vision team that developed Face ID is looking for a data scientist with an emphasis on deep system understanding through data analysis. This position will require collaborating with algorithm engineers and teams (machine learning, cloud infrastructure support, and user studies). You will work together with similar minds in a rare development team where your skills and expertise will be applied to Apple products. Do you think different? Are you passionate about a challenge?

Education & Experience

PhD or Master in computer science, machine learning, deep learning or computer vision.

Jobs Rated Reports for Data Scientist

Posted: 2019-10-20 Expires: 2019-11-18

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Data Scientist (Machine Learning)

Apple, Inc.
Cupertino, CA

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Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

Work Environment
Very Good
32/220
Stress
Very Low
41/220
Growth
Very Good
35/220
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