Applied Scientist

Blee is an AI-first marketing content compliance platform. The Applied Scientist will architect and implement multi-agent systems for intelligent compliance workflows, build and optimize applied AI/ML pipelines, and improve compliance recommendations using model evaluation and user feedback.

Responsibilities:

• Architect multi-agent systems – Design and implement frameworks that integrate foundational LLMs and custom-trained models to power intelligent compliance workflows
• Build and optimize AI/ML pipelines – Model fine-tuning, prompt engineering, and evaluation frameworks
• Ensure explainability and traceability – Build mechanisms for transparent flagging, ensuring every compliance flag is traceable to prior rules, examples, or data assets
• Automate compliance rule translation – Build systems that transform compliance rules into agent-ready logic paths
• Design, train, and fine-tune models – Improve compliance accuracy and adaptability using user feedback and outcomes data to drive iterative training and personalization
• Design model evaluation and monitoring infrastructure – Ensure reliability and auditability across customer deployments
• Collaborate cross-functionally – Work with Product Engineers to integrate AI features via APIs, data pipelines, and frontend; partner with model training engineers to incorporate feedback loops into system design; collaborate with compliance users to translate complex rules into agent workflows
• Stay current on AI/ML advances – Prototype and apply new techniques to our platform