Join Hula Earth to develop innovative solutions for biodiversity monitoring and nature investments. You'll work with satellite imagery, bioacoustic data, and environmental indicators as part of our growing data science team. Perfect for data scientists passionate about applying ML to environmental challenges while growing in a fast-paced startup.

🌟 Role Impact

• Develop ML models for environmental data analysis


• Process and analyze satellite imagery and sensor data


• Create biodiversity indicators from multiple data sources


• Collaborate with senior scientists on core algorithms

📋 Key Responsibilities

Data Analysis

• Process and analyze earth observation data


• Develop species detection algorithms


• Create environmental health indicators


• Validate and test ML models

Development

• Write clean, documented Python code


• Build data processing pipelines


• Implement scientific papers and methods


• Contribute to our core ML framework

Collaboration

• Work with senior scientists on research


• Support hardware team with edge ML models


• Help improve data collection methods


• Document findings and methods

🎓 Requirements

• 2-4 years data science experience


• Strong Python programming skills


• Experience with ML frameworks (PyTorch/TensorFlow)


• Background in environmental science or similar


• Knowledge of geospatial data processing

💪 Why Join Us Now

High-Impact Leadership Role

• Shape core technology in fast-growing climate tech startup


• Competitive salary


• Direct influence on product strategy alongside founders


• Grow with the team from ground up

Innovation & Growth

• Full technical autonomy


• Rapid career acceleration


• Access to cutting-edge environmental tech


• Dynamic startup environment at Munich Urban Colab

Benefits

• Access to high-profile mentor network


• Learning budget


• Team retreats