Requirements
Must have:
- 3+ years in applied ML (not necessarily professional), with at least one deployment of a computer vision system
- Fluency in German and English
- Clear opinion about segmentation architectures and the ability to defend it
- Experience extracting performance from small datasets, including augmentation, transfer learning, and semi-supervised approaches
- Solid time series modelling skills, including feature engineering from sensor data, handling irregular sampling, autocorrelation, and non-stationarity
- Sufficient software engineering fundamentals to own cloud infrastructure and data pipelines without dedicated support
We value:
- A background in live cell imaging, medical imaging, industrial sensing, or the water industry
- Experience with process optimisation or control systems
- Familiarity with MLOps practices
- Demonstrated work recognised in your field
Responsibilities:
- Own the computer vision architecture: evaluate the existing baseline, make architectural decisions, and take full accountability for model performance in production
- Build and maintain cloud inference serving live testing sites across Europe
- Design and maintain pipelines that ingest and process live sensor data from industrial installations
- Build the correlation layer between vision-derived features and downstream process variables
- Structure model outputs as clean, documented inputs for the operator-facing interface
- Collaborate with our founding team to integrate operational observations with model behavior
- Work directly with our CTO and maintain full visibility into technical and commercial decisions from day one
Company:
We are hiring a founding engineer for our office in Hannover to own our ML stack from first principles. You will inherit a working computer vision baseline and decide what to keep, what to replace, and what to build next. As our scope matures, you will extend into the modelling layer that connects vision-derived features to downstream process variables, laying the foundation for broader impact.
We offer a hybrid working model with a focus on output, not hours, direct access to founders, opportunities to grow into a leadership role as we scale, access to upskilling resources, and a dedicated budget for the hardware and compute you need to do your best work. We support health and welcome input on perks and benefits that matter to you.
This is a full-time role based in hybrid remote work in 30167 Hannover, with salary in the range of 55.000,00€ to 70.000,00€ per year.
