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Computer Vision Engineer / Machine Learning Engineer

huaweifinlandrnd
Companyhuaweifinlandrnd
CategoryEngineering
Location
Remote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted3 Aug 2026
Last verified12 Aug 2026
SourceEmployer ATS (teamtailor)
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Description
Computer Vision Engineer / Machine Learning Engineer We are looking for a Computer Vision Engineer / Machine Learning Engineer to join our Graphics team located in Helsinki. In this role, you will work alongside experts from diverse backgrounds to shape the future of on-device AI across mobile platforms (phone, PC, tablet, and automotive), redefining how people interact with the physical and digital world. Your core mission is to research and develop generative and 3D spatial AI that runs efficiently on-device — enabling machines to understand the real world and generate high-quality images, video, and 3D content in real time, under tight compute, memory, and power constraints. What you'll do - Research and develop on-device generative models for image, video, and 3D content creation and editing - Build algorithms for 3D reconstruction, depth estimation, and spatial/visual understanding - Optimize models for edge deployment: quantization, distillation, pruning, and NPU/GPU acceleration - Take ideas from prototype to shipping product, working with hardware, platform, and product teams Qualifications - PhD or MSc in Computer Vision, Machine Learning, Computer Graphics, or a related field - Proven ability to turn research concepts into state-of-the-art techniques that hold up against real-world complexity - Strong background in one or more of: diffusion / flow-matching / autoregressive generative models; depth estimation and 3D scene - reconstruction (NeRF, 3D Gaussian Splatting); 3D generative AI; multimodal LLMs and visual understanding; neural networks and transformers - Experience with efficient inference and model compression for resource-constrained hardware is a strong plus - Core programming: primary development in C++ with GLSL/HLSL compute shaders (Vulkan, OpenGL); Python, PyTorch, and CUDA for research and proof-of-concept work - Familiarity with mobile inference stacks (e.g., TensorRT, CoreML, QNN, ExecuTorch, NCNN) is a plus Employement type and Locations: This is a full time employee position , based on Helsinki/Tampere office in Finland, or Munich office in Germany. Graphics Team Vision AI will transform every stage of the Human–Machine Interaction pipeline, evolving today's predefined user interfaces into intelligent, adaptive, and highly personalized experiences. AI + Understanding: On-device computer vision models will understand and interpret on-screen content, enabling context-aware interactions and intelligent assistance. AI + Generation: On-device Diffusion Transformers (DiTs) will generate high-quality animations and videos from a single image, unlocking richer and more dynamic user experiences. AI + Rendering: Neural rendering will progressively replace traditional mobile rendering pipelines, delivering higher visual quality, improved efficiency, and new graphics capabilities. AI + Modeling: Learning-based 3D/4D modeling approaches (e.g., VGGT and Trellis) will dramatically simplify content creation by reducing manual input and enabling intelligent scene reconstruction and editing. About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. Huawei continues to invest in basic research and open innovation, and accommodates and addresses customer needs with an open mind, while steering these needs with science and technology. We have also built flexible business models and encourage numerous industries to adopt a vast range of models and applications. Through such initiatives, we are bringing digital to every person, home and organization for a fully connected, intelligent world. We seek and reward talent! At Huawei, if you are dedicated to creativity, engagement of tech