Research Scientist / Research Engineer, Safety + Alignment, Search

Highlights

• Lead Search Integrity to separate useful web content from spam and manipulation.
• Build classifiers and evaluations shaping what Search indexes and retrieves.
• Advance detection with frontier models to counter evolving AI-driven adversaries.

What they offer

• Equity

Ideal candidate

An independent, first-principles researcher-engineer passionate about adversarial integrity and search quality who thrives defining ambiguous problems and shipping detection systems to production with cross-functional teams.

Requirements

• Deep experience in web spam, search quality, adversarial content detection, or related integrity problems at scale
• Strong applied ML and research skills, with experience developing classifiers, detection methods, and evaluations
• Understanding of how adversaries manipulate content and links, coordinate across sites, and adapt to detection
• Track record of independently defining ambiguous technical problems and driving solutions to production
• Experience working across research, engineering, and integrity teams while remaining hands-on technically
• First-principles approach to using frontier models and compute to keep detection effective