Search Systems Engineer - Fully Remote in San Francisco

• Evaluate the accuracy and depth of AI-generated content in search systems to strengthen reasoning and rigor in model outputs.
• Develop and optimize systems related to agentic search for improved performance and reliability.
• Scale data infrastructure to support modern search systems and enhance retrieval capabilities.
• Collaborate with AI research teams to quantify impact and improvements in search systems.
• Work independently and asynchronously to meet deadlines while improving AI model performance., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Must-Have

• Experience shipping production search systems.
• Ownership of relevance or retrieval on systems used by real users.
• Ability to quantify impact and improvements in search systems.
• Experience building systems related to agentic search.
• Experience scaling data infrastructure for search systems.

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.