Senior/Staff Applied AI Researcher, Growth
Core
Architecting end-to-end agentic infrastructure for marketing execution and user growth, transitioning from manual loops to autonomous multi-agent workflows for creative asset generation and campaign optimization.
Role type
Senior/Staff Applied AI Researcher (Growth)
Builds
Autonomous multi-agent event streams, automated content loops, and decisioning pipelines for real-time asset deployment.
Domain
E-commerce / Retail / Marketing Technology
Deliverable
production ML models
Required skills
Python, SQL, Large Language Models (LLMs), multi-agent frameworks, prompt engineering, data serialization, algorithmic optimization, real-time event-driven architectures
Preferred skills
DTC/retail/generative asset platform experience, advertising networks, programmatic bidding models, advanced degree in quantitative field
Technologies
Claude, LLMs, multi-modal pipelines
Responsibilities
Design scalable service-layer code for LLM integration; build autonomous content synthesis pipelines; establish confidence limits and fallback frameworks for LLM failure modes; partner with Product/DS/Engineering to define catalog schemas; improve ads delivery efficiency by 20% in 6 months.
Seniority
Senior/Staff, hands-on IC