Project description
We are looking for an ML Engineer focused on building fast, reliable inference systems and integrating machine learning into real-time graphics pipelines.
The project is positioned at the intersection of deep learning and computer graphics. The main focus is on Convolutional Neural Networks and high-performance inference integrated into rendering workflows. The work is closely connected with GPU technologies and real-time rendering systems.
You will collaborate with experienced engineers on advanced solutions for real-time image processing, rendering enhancement, and ML-driven graphics pipelines.
Responsibilities
Design and build fast, reliable ML inference systems for real-time applications
Develop, train, and optimize Convolutional Neural Network (CNN) models
Integrate ML models into real-time graphics and rendering pipelines
Implement custom training loops and optimize training workflows
Apply distributed training and mixed precision techniques
Optimize model performance for GPU execution
Collaborate with graphics and low-level engineers on ML integration
Skills
Must have
Strong deep learning background with solid expertise in Convolutional Neural Networks (CNNs)
Advanced proficiency in Python and PyTorch
Experience building and optimizing inference pipelines
Ability to implement custom training loops
Experience with distributed training and mixed precision
Solid understanding of computer graphics fundamentals:
Rendering pipeline
Shaders
Sampling
Anti-aliasing
Tone mapping
Perceptual quality metrics
Nice to have
Experience with Vulkan or DirectX
Shader programming experience (HLSL / GLSL)
Experience integrating ML models into graphics pipelines
Rendering engine or game engine knowledge
Other
Languages
English: B2 Upper Intermediate
Seniority
Senior
Gdansk, Poland
Req. VR-120484
AI/ML
Automotive Industry
24/02/2026
Req. VR-120484