Machine Learning Engineer

Quick Facts

• Role: Machine Learning Engineer (R&D; 3-person team)

• Focus: AI algorithms for automatic generation of 3D models of urban and natural environments

• Work style: Linux-based; emphasis on efficiency and resource-conscious solutions

Description

You will develop and optimize AI algorithms that power automatic 3D scene generation. You will work on semantic segmentation of image data, point-cloud classification, and information extraction from 3D models, with a key focus on Gaussian splatting–based reconstruction to improve visual quality while managing computational cost. The role also includes opportunities to influence technical direction and propose research projects.

Responsibilities

• Develop new solutions, implement them, and optimize them

• Conduct semantic segmentation of image data, classify point clouds, and extract information from 3D models

• Develop and optimize scene reconstruction using Gaussian splatting (output quality, compute requirements, and downstream processing)

• Improve geometric and visual quality of 3D models

• Study technical articles, identify new approaches, and apply them in practice

Requirements

• Strong analytical thinking and interest in mathematics and algorithms

• Willingness to continuously learn and follow specialized literature

• Practical knowledge of Linux and Python

• Interest in image processing, point cloud processing, machine learning, statistical modeling, and PyTorch (active knowledge is a plus)

• Knowledge of Gaussian splatting or radiance fields is an advantage

• C++ or SQL knowledge is an advantage

Benefits

• Work on technology that expands the possibilities of 3D modeling

• Supportive environment and collaboration with experienced colleagues

• Unlimited budget for a workstation

• Compensation aligned with your skills and experience

• Standard company benefits