Hydrology ML Scientist — Real-Time Flood Alerts

Startupticker; Zürich; On-site; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Job summary

Riverkin, a Swiss startup building real-time sensing for rivers, seeks a hydrologist to lead flash flood modelling. You will build the first ML model, define the data architecture, and embed models in scalable software. You’ll translate client needs into a technical roadmap, shape the company strategy, and actively participate in customer engagements.

This 100% FTE role offers equity and rapid growth as an early hire in Zurich, with a strong emphasis on hands-on delivery and real-world impact.

Qualifications

• Strong experience applying ML tools (e.g. LSTM) to hydrological problems such as flooding.
• Experience in bias correction of weather radar.
• MSc or PhD in hydrology, water resources management, atmospheric sciences, or equivalent.
• Experience working with real-world data systems (gauges, GIS, satellite imagery, etc.).

Responsibilities

• Build the first flash flood ML model using sensor data and public sources.
• Translate business and customer needs into a technical roadmap with founders.
• Represent the team on internal and external fronts, including customer pitches.
• Create clarity and momentum by structuring ambiguous problems and driving execution.

Skills

ML for hydrology

LSTM models

Bias correction of radar

Communication

Education

MSc or PhD in hydrology or related

Tools

GIS

Satellite imagery

Gauges

Job description

Riverkin, a Swiss startup building real-time sensing for rivers, seeks a hydrologist to lead flash flood modelling. You will build the first ML model, define the data architecture, and embed models in scalable software. You’ll translate client needs into a technical roadmap, shape the company strategy, and actively participate in customer engagements.

This 100% FTE role offers equity and rapid growth as an early hire in Zurich, with a strong emphasis on hands-on delivery and real-world impact.