Software Engineer

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 Quest DB, 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.

Live operations.

Keep our partner deployments observable and reliable, and make incidents boring.

Tooling.

Build the internal tools that let a team of six move like a team of twenty.

Growth path.

As you learn the system, work your way into the CLS core itself: the distributed runtime and the engineering of a system that never stops learning.

We will actively support that path.

Requirements

• A computer science degree, ideally an MSc, and roughly two to six years of hands‑on software development.

An outstanding recent MSc with substantial real project work also qualifies.

• Production experience in at least one modern stack.

Our codebase is Python; if yours was Java, Kotlin, or Type Script, we expect you to become excellent in Python quickly, and we have seen strong engineers do exactly that.

• Comfort with Linux, Docker, and cloud infrastructure.
• Familiarity with distributed systems and streaming data, or the appetite to build it fast.

We run an actor mesh on Ray, and hands‑on experience with Ray or a comparable framework sets you apart.

• Evidence of drive beyond the day job: a side project you shipped, an award, an open-source contribution, a community you built.

We care about this more than about any single framework on your list.

• Working proficiency in German or English; the team uses both.

Benefits

• Equity through our VSOP. We want owners.
• Salary band: €60,000 to €80,000, plus the equity above.
• A small team with direct access to every technical decision, and founders who write code.
• Düsseldorf or Hamburg office with hybrid flexibility, or remote within Germany.
• Hardware of your choice.
• A process that respects your time: two conversations plus one hands‑on session with real code. Decision within two weeks.
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