AIML Privacy-Engineering Rotation

Cupertino, CA, US • Posted 23 hours ago • Updated 10 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Art
  • SAP BASIS
  • Collaboration
  • Communication
  • Organizational Skills
  • Software Engineering
  • Computer Science
  • Publications
  • Machine Learning (ML)
  • Research
  • Use Cases
  • Privacy

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and privacy to our users. This unique role combines Privacy Engineering with hands-on software engineering work with the Privacy Preserving Machine Learning team. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and machine learning. We are looking for an outstanding candidate with a strong interest in privacy in practice to take on this unique role.

We are seeking an experienced engineer and privacy advocate to build privacy-preserving technologies for measurement and machine learning and guide policy and product decisions to uphold Apple's industry leading privacy bar.\n\nSuccessful candidates will need to have strong interpersonal skills and the ability to influence and build consensus and work across multiple teams and organizations on a regular basis.

Passion for customer privacy.\nStrong collaboration, communication, interpersonal, and organizational skills.\nStrong software engineering skills and ability to solve complex problems independently.\nExperience with differential privacy or private federated learning.\nBS in Computer Science, EE or equivalent experience.

Real-world experience implementing privacy/trust/security measures which have shipped in a consumer product and/or service.\nParticipation in public standards forums or academic publications in privacy and machine learning strongly preferred. \nAbility to analyze systems' architectures for privacy impact.\nAbility to learn and research new technologies and use-cases rapidly, assess privacy exposures, and suggest mitigations.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 52c7a8e3501482776ed732470096ee4
  • Posted 23 hours ago
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