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Job summary
A cutting-edge compliance technology firm in San Francisco is seeking a lead architect to build and optimize multi-agent systems aimed at regulatory filings. The ideal candidate will have over 5 years of experience in ML/AI, particularly in building graph reasoning systems. You will own the architecture and reliability of the product, ensuring compliance and high accuracy. The position offers a competitive salary range of $185k-$250k along with equity options. This is an opportunity to significantly impact an early-stage venture.
Qualifications
5+ years in ML/AI, particularly RLHF and retrieval systems.
Experience building or scaling multi-agent systems.
Research or applied work in RL or graph retrieval.
Responsibilities
Architect multi-agent systems for reasoning and verification.
Build graph-based retrieval for cross-document reasoning.
Develop RL frameworks to optimize system accuracy.
Skills
ML/AI expertise
Building multi-agent systems
Graph reasoning
Experience with LangGraph
Research in RL
Education
Advanced degree in CS, ML, or equivalent
Job description
A cutting-edge compliance technology firm in San Francisco is seeking a lead architect to build and optimize multi-agent systems aimed at regulatory filings. The ideal candidate will have over 5 years of experience in ML/AI, particularly in building graph reasoning systems. You will own the architecture and reliability of the product, ensuring compliance and high accuracy. The position offers a competitive salary range of $185k-$250k along with equity options. This is an opportunity to significantly impact an early-stage venture.