Qualifications

• Hands-on experience building AI/ML systems in production (0-4+ years), specifically in recommender systems, matching, or social graphs.
• Experience with large-scale data modeling (millions of data points).
• Proficient in collaborative filtering, graph embeddings, and ranking systems.
• Experience applying reinforcement learning for real-world personalization.
• Familiarity with multi-channel messaging APIs and AI agent frameworks.
• Ability to design scalable infrastructure for complex AI workloads.
• Strong cross-functional communication skills, comfortable working with product, design, and data science teams.

Responsibilities

• Build a novel social graph using real-world interaction data, processing millions of data points.
• Design and improve matching systems for user compatibility.
• Develop collaborative filtering, graph embeddings, and ranking systems.
• Apply reinforcement learning techniques to enhance personalization.
• Identify patterns that facilitate meaningful friendships.
• Design and build user experiences across various messaging platforms.
• Orchestrate a multi-agent system for user lifecycle management.

Benefits

• Founding equity.
• Opportunity to influence the technical direction of a rapidly growing consumer AI startup.
• Collaborative team environment in San Francisco.