L

Founding ML Engineer

Lir Labs Germany Hannover, NI, DE
Full-time Posted 3 months ago

Responsibilities

  • check_circle Own the computer vision architecture: evaluate the existing baseline, make architectural decisions, and take full accountability for model performance in production
  • check_circle Build and maintain cloud inference serving live testing sites across Europe
  • check_circle Design and maintain pipelines that ingest and process live sensor data from industrial installations
  • check_circle Build the correlation layer between vision derived features and downstream process variables
  • check_circle Structure model outputs as clean, documented inputs for the operator-facing interface
  • check_circle Collaborate with the founding team to integrate operational observations with model behavior
  • check_circle 3+ years in applied ML (not necessarily professional), with at least one deployment of a computer vision system
  • check_circle Fluent in German and English
  • check_circle A clear opinion about segmentation architectures and the ability to defend it
  • check_circle Experience extracting performance from small datasets: augmentation, transfer learning, semi-supervised approaches
  • check_circle Solid time series modelling skills: feature engineering from sensor data, handling irregular sampling, autocorrelation and non-stationarity
  • check_circle Sufficient software engineering fundamentals to own cloud infrastructure and data pipelines without dedicated support

Preferred qualifications

  • Background in live cell imaging, medical imaging, industrial sensing, or water industry
  • Experience with process optimisation or control systems
  • Familiarity with MLOps practices
  • Demonstrated work recognised in your field

Benefits

  • check_circle Flexibility: Hybrid working model with a focus on output, not hours.
  • check_circle Professional Growth: Direct access to founders and the opportunity to grow into a leadership role as we scale the team and access to upskilling resources.
  • check_circle Tools for Success: A dedicated budget for the hardware and compute you need to do your best work.
  • check_circle Health: We want you to be the best version of yourself and will try to support this as best as we can. Let us know what perks and benefits you would like to see.

Tags & Focus Areas

Fulltime Remote Machine Learning Computer Vision Ai

About Lir Labs Germany