Senior/Staff Applied AI Researcher (Growth)

Join Quince as a Senior/Staff Applied AI Researcher, Growth. In this high-impact role, you will design and implement an end-to-end agentic infrastructure for marketing execution and user growth. You will have the autonomy to deploy advanced LLMs and multi-agent frameworks into production workflows, directly impacting the company's growth. Collaborate with a team of data scientists, analysts, and machine learning researchers to bring your vision to life.

• Architect and design a software layer that autonomously handles creative asset generation, event-driven multi-agent workflows, and cross-platform campaign management and optimization.
• Collaborate with the existing team of data scientists, data analysts, and machine learning researchers to bring the vision of end-to-end multi-agent event streams and automated systems to life.
• Build and refine autonomous decisioning pipelines that integrate with data matrices to dynamically model and optimize real-time asset deployment across platform networks.

• Demonstrated impact shipping real-world software and observing data-driven revenue and operational outcomes
• Expert-level command of Python and SQL, with demonstrated mastery of advanced LLM integration frameworks and data serialization patterns
• 8+ years of technical experience, including at least 1–2 years of corporate or industry experience
• Experience operating independently to untangle loose, ambiguously defined algorithmic or statistical optimization problems without relying on pre-existing abstraction layers
• Experience building custom developer velocity extensions or generative asset platforms within direct-to-consumer (DTC), retail, or e-commerce environments
• Deep familiarity with advertising networks, performance marketing data structures, programmatic bidding models, or real-time event-driven architectures
• An advanced degree (Masters or PhD) in computer science, mathematics, statistics, physics or a highly quantitative field