AI Policy & Strategy Engineer

Perplexity

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

A leading technology company is looking for a Member of Technical Staff in San Francisco. The role combines engineering with policy and law, involving research, compliance systems, and litigation support. Ideal candidates are engineers, lawyers, or economists with strong technical skills and a commitment to continuous learning. Successful applicants will engage with senior leaders and contribute to significant technology initiatives. This position offers a unique opportunity to influence AI policy and operations within the company.

Qualifications

  • Exceptional ability and high work ethic required.
  • Strong technical skills at or above the hiring bar for software engineers.
  • Eager to redefine roles and learn continuously.

Responsibilities

  • Research policy and regulatory issues using AI agents.
  • Build platforms for managing inventions.
  • Support high-tech litigation in federal court.
  • Engineer privacy and compliance systems.
  • Contribute to regulatory filings and responses.
  • Implement software solutions for HR processes.
  • Engage with policymakers as a subject-matter expert.

Skills

Technical skills
Fluency with frontier intelligence tools
Strong communication and writing skills
Ability to dive deep in various fields
Curiosity about new fields

Education

Bachelor's degree in engineering, law, or related field
JD or PhD (new grads welcome)

Tools

Perplexity Computer

Job description

A leading technology company is looking for a Member of Technical Staff in San Francisco. The role combines engineering with policy and law, involving research, compliance systems, and litigation support. Ideal candidates are engineers, lawyers, or economists with strong technical skills and a commitment to continuous learning. Successful applicants will engage with senior leaders and contribute to significant technology initiatives. This position offers a unique opportunity to influence AI policy and operations within the company.
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