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 Data Scientist, Information Security - 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: Computers - Programming Languages
Computers - Platforms
Computers - Networks
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: 200313953 / Latpro-3842931 
Date posted: Nov-21-2021
State, Zip: California, 95014

Description

Data Scientist, Information Security

Santa Clara Valley (Cupertino) , California , United States

Corporate Functions

Summary

Posted: Nov 19, 2021

Weekly Hours: 40

Role Number: 200313953

This position can be located in Seattle (WA) or Santa Clara Valley (CA). Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple Information Security's Data Science team is working on innovative solutions at the intersection of machine learning (ML) and cyber security with the goal of developing an autonomous cyber defense system. In this role, you will work with a team of scientists crafting experiments, developing prototypes, and integrating capabilities to defend Apple.

Key Qualifications

  • Hands-on experience working with deep learning toolkits such as Tensorflow, PyTorch, or Keras.
  • Good programming skills in Python.
  • Ability to formulate a research problem, design experiments and implement end-to-end projects independently.
  • Ability to work in a multi-disciplinary, coordinated environment.

Description

As a member of the AIS Data Science Team, you will use your understanding of cybersecurity, machine learning, and artificial intelligence to develop novel defense capabilities. You will research novel autonomous defense capabilities by crafting experiments and evaluating their efficiency, building prototypes, and then integrating these capabilities into large scale systems.

Education & Experience

PhD in Computer Science, Math, Statistics, Physics, Robotics or related field. Equivalent work experience will be considered.

Additional Requirements

  • PREFERRED QUALIFICATIONS
  • - Experience with the information security domain
  • - Experience with Reinforcement Learning.
  • - Experience with software development standard methodologies (issue tracking and source code management tools, like git)





Requirements

See job description

 

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