21 days old

Data Scientist (Machine Learning) - Apple

Cupertino, California
  • Jobs Rated
    7th

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

Requirements

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.

Categories

Jobs Rated Reports for Data Scientist

Posted: 2019-11-22 Expires: 2020-01-21

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Data Scientist (Machine Learning) - Apple

Apple
Cupertino, California

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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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