Software Engineer

Overview

Most machine learning systems stop learning the moment they ship. We build the Continuous Learning System (CLS), continuous AI: an architecture that learns during live operation. It ingests streaming data through a mesh of distributed actors and adapts to structural change without a retraining cycle, running entirely on ordinary CPUs. The CLS runs today in ongoing projects with partners across sev

What you'll do

• Most machine learning systems stop learning the moment they ship.
• We build the Continuous Learning System (CLS), continuous AI: an architecture that learns during live operation.
• It ingests streaming data through a mesh of distributed actors and adapts to structural change without a retraining cycle, running entirely on ordinary CPUs.
• The CLS runs today in ongoing projects with partners across several industries and use cases, and we are funded.
• We are a small, senior team.
• This role exists because the system works and the world around it now needs to be built.
• Tasks Product.
• Build and own our customer-facing surface: dashboards, APIs, account and access management, the interfaces through which customers meet the CLS.
• Data platform.
• Pipelines on Dagster, time-series storage in QuestDB, and ingestion from the real world in all its mess: industrial CSV exports, biosignal formats such as EEG, EMG, and IMU, and public APIs of famously variable reliability, ENTSO-E being the canonical example.

Requirements

• Practical experience with Software Development.
• Relevant academic or project background for a Software Engineer role.
• Strong written and verbal communication in English.
• Comfortable working on-site in Düsseldorf.

Skills