As a Computer Vision Engineer, you will design and implement core algorithms that power 3D reconstruction and automated analysis for sustainable energy projects. Your work will focus on transforming real-world sensor data into accurate digital representations using advanced techniques in computer vision and machine learning.
What You'll Do
- Design and optimize computer vision pipelines for Structure-from-Motion, photogrammetry, and 3D reconstruction
- Train and fine-tune deep learning models using custom datasets, with emphasis on object detection and semantic segmentation
- Process and analyze pointcloud and mesh data to improve model accuracy and performance
- Implement and refine Visual-Inertial SLAM systems for improved spatial understanding
- Collaborate closely with a distributed team, aligning development efforts during EST hours
- Deploy and maintain vision-based microservices in cloud environments
What We Need
- Proven experience building computer vision systems for real-world deployment
- Strong programming skills in Python and C++
- Working knowledge of OpenCV, PyTorch, and related frameworks
- Hands-on experience with geospatial data workflows and 3D geometry processing
- Familiarity with microservices, APIs, and NoSQL databases
- Experience deploying applications in cloud infrastructure
Background That Helps
- Degree in Computer Science, Engineering, Mathematics, or a related technical discipline
How We Work
This is a fully remote role with a global team. We prioritize clear communication and structured collaboration, especially during overlapping EST working hours. Our culture values initiative, resilience, and shared responsibility. We expect team members to approach challenges with creativity and a solutions-oriented mindset, while maintaining a respectful and inclusive environment grounded in empathy and kindness.
We are committed to equal opportunity and fostering a workplace free from discrimination and harassment. All team members are expected to uphold principles of respect, inclusion, and professionalism.
