Das ist der Job
The company A seed-stage startup building something genuinely new in health tech.
Darum lohnt es sich
Concretely Build and improve recommendation systems and biomarker estimation models across video, audio, and text modalities Work on a multimodal digital twin dataset unlike anything in the market Push deep learning models into production and keep them there Design the next iteration of the core reasoning engine — a conversational medical agent built on top of the data layer Drive AI adoption across the company 4+ years industry experience (or PhD + 1+ year) MSc in ML, Statistics, Computer Science or related Strong Python, PyTorch, git — and the xayajpt discipline to write production-grade code Experience with agentic architectures and modern AI tooling Signal processing and/or recommendation systems background Worked in a startup or high-ownership environment before Biomedical background is a plus — but curiosity about health impact matters more Founding AI/ML Engineer — Early-Stage HealthTech | Munich Vergewissern Sie sich, dass alle Ihre Bewerbungsunterlagen aktuell und in Ordnung sind, bevor Sie sich für diese Stelle bewerben.
The goal is a reasoning engine that drafts safe, evidence-based medical protocols. Think Doctor AI — but built properly, from first principles. This is a role where your code ships to users and your decisions shape the product The work You’ll own the ML layer end to end — from research to production.
