ML Product Engineer

At kausable, we build causal, reasoning-first models that learn from a handful of examples and generalize across domains. Research gets us to a capable model. This role gets that model into the hands of users. As our ML Product Engineer, you own the path from a promising result in the lab to a dependable production capability: serving, evaluation, data flows, reliability, latency and cost. You will work at the boundary between research and product, where good technical judgment matters more than a clean handover. TASKS * Turn research models into production-grade services with clear reliability, latency and cost targets. * Build evaluation harnesses and release criteria that show quantitatively when a model is ready to ship. * Design the data pipelines, versioning and observability needed across training, evaluation and live inference. * Build stable APIs and developer-facing abstraction