We are building advanced computer vision systems to map and monitor forest growth over time.

This is production-level ML/CV work with real environmental impact.

Technical requirements

Essential skills

• 3+ years of computer vision or deep learning experience
• Strong Python proficiency with production-level code
• Experience with PyTorch or similar ML frameworks
• Understanding of 3D geometry, point clouds, and depth sensing
• C++ knowledge for performance-critical components
• Cloud computing and parallel processing experience

Additional valuable experience

• Stereometric camera systems
• SLAM, visual odometry, or 3D reconstruction
• Forest/agricultural tech or environmental monitoring
• Real-time video processing pipelines
• CUDA programming for GPU acceleration

The environment

• Small, focused team with global clients portfolio
• You own the entire CV/ML stack independently
• Direct impact on product direction and technical architecture
• Prototype-to-production development cycle
• Modern tech stack with freedom to choose best tools

Work arrangement

• Based in Tallinn, Estonia
• Flexible remote work with 2 office days weekly
• Full-time position
• Competitive salary for Estonian market

Why this role stands out

• Cutting-edge computer vision applied to climate tech
• Full ownership of complex technical domain
• Work with unique multi-sensor data streams
• Solve genuinely hard problems (outdoor 3D reconstruction is notoriously difficult)
• Direct environmental impact through forest monitoring

We need someone who can dive deep into computer vision research papers, implement state-of-the-art algorithms, and optimize them for production use. If you are excited by the challenge of making machines truly understand forest environments, let us talk.