Sine Engineering is the leading global company developing advanced radio communication and navigation systems. We are building mission-critical infrastructure for the multi-million drone era.
Here, you will work with cutting-edge technologies tested in the most challenging environments in the world, and watch your ideas evolve into an ecosystem that safeguards humanity.
We are seeking a highly skilled and motivated Machine Learning / Computer Vision Engineer with deep expertise in 3D Computer Vision and Gaussian Splatting. As a key member of our team, you will help build innovative solutions new to Ukraine and to the world. This is a rare opportunity to become part of an exceptionally skilled, cross-functional team capable of developing advanced system-level solutions from the ground up.
You’ll collaborate closely with engineers based in Ukraine and should be eager to adopt established technical standards and methodologies from our core team.
We value great ideas, rapid iteration, and open collaboration - and we’re driven by the impact our solutions can make.
We are seeking professionals in Finland who aspire to go beyond product development and contribute to shaping the world of tomorrow.

REQUIREMENTS:

• 5+ years of experience in Machine Learning and Computer Vision.
• Deep understanding of Classical CV, SLAM/SfM, Neural Networks, and Optimization techniques.
• Strong knowledge of CNNs, Transformer architectures (e.g., ViT, SA, DINO), and YOLO, ResNet, etc.
• Proven experience with Gaussian Splatting - from research to implementation in production environments.
• Experience with large-scale datasets and high-complexity scenes.
• Proficiency in Python, C++, and frameworks such as PyTorch, TensorFlow, JAX, and CUDA.
• Experience with COLMAP for 3D reconstruction.
• Proficient with Unreal Engine and Unity for 3D rendering and integration.
• Experience with Gaussian Splatting tools and platforms, including gsplat (PyTorch , CUDA), Postshot, and capture/editing solutions like Polycam, Luma AI, and Kiri Engine

• Design, implement, and optimize algorithms for 3D Gaussian Splatting, including dynamic scene rendering and large-scale spatial reconstructions.
• Build and maintain custom training pipelines for neural networks (CNNs, Transformers).
• Optimize performance for Nvidia GPU platforms using CUDA and multithreaded programming.
• Mentor junior team members and contribute to technical leadership within the team.
• Integrate Gaussian Splatting pipelines with 3D engines and platforms.