Adobe is a leading company empowering creativity through innovative platforms and tools. They are seeking a Machine Learning Engineer to build LLM-powered systems for simulating consumer audiences, enhancing brand marketing decisions through advanced AI technology.
Responsibilities:
- Design, build, and ship LLM-powered systems that simulate consumer audiences end-to-end, from proof-of-concept to production
- Develop complex inference and reasoning harnesses on top of frontier LLMs, agentic flows, persona conditioning, retrieval, and sampling strategies tuned for distributional fidelity
- Fine-tune LLMs on survey, panel, and behavioral data to improve alignment with real-world audience distributions; own the full loop from data curation through eval
- Build the evaluation datasets, benchmarks, and harnesses that define what 'good' means for synthetic audience quality - distributional fidelity, behavioral validity, subgroup calibration
- Partner with product management, applied science, and engineering to translate a fast-moving research literature into shipping product features