AIML Privacy Engineering Rotation

What you'll do

• Design, develop, and deploy end-to-end measurement systems that maintain high utility while meeting strict privacy standards.
• Build privacy-preserving technologies specifically for measurement and machine learning applications.
• Communicate system design tradeoffs, privacy risks, and potential mitigations to senior leadership to drive decision-making.
• Analyze system architectures to identify and mitigate potential privacy exposures.
• Research new technologies and use cases to suggest technical privacy mitigations.
• Perform hands-on software engineering and privacy engineering tasks across two different internal teams.

What we're looking for

• Passion for customer privacy.
• Strong collaboration, communication, interpersonal, and organizational skills.
• Strong software engineering skills and the ability to solve complex problems independently.
• Experience with differential privacy or private federated learning.
• BS in Computer Science, EE, or equivalent experience.
• Real-world experience implementing privacy, trust, or security measures in a consumer product or service.
• Participation in public standards forums or academic publications in privacy and machine learning.
• Ability to analyze system architectures for privacy impact and research new technologies rapidly.