Teams at Midjourney

Lead development of ML components for medical image reconstruction: define training/evaluation pipelines and metrics, productionize models (inference performance, monitoring, safe fallbacks), collaborate on hybrid physics-ML algorithms, and build tooling for experimentation and rigorous verification.

Lead architecture and core runtime foundations for a distributed scanner platform, driving reliability, observability, performance, and engineering rigor while collaborating with hardware and ML teams and mentoring engineers.

Lead execution of major product initiatives for AI-first, precedent-free products. Collaborate with design, engineering, and research; write product requirements, manage backlogs, run standups, conduct user research, prototype with Claude Code, and drive projects from ideation to launch.