3D Machine Learning Engineer (f/m/d)

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ak5py

ppYou'll join our core 3D AI team: researchers and engineers working across the entire 3D stack: from raw data capture and geometric reconstruction to neural rendering and generative material synthesis. The team bridges academic rigor and production reality, moving fast without losing depth. Collaboration is close, hierarchy is flat, and the problems are genuinely hard. /ph3What This Role Could Look Like /h3pThis is an open call for talented people working in 3D; whether your background is in computer vision, rendering, or machine learning. We're not hiring for a fixed spec; we're looking for people who are excellent in at least one of these areas and curious about the others. /ppDepending on your background and interests, you could be working on: /pulli3D Computer Vision Reconstruction /li /ulpBuilding the geometric backbone of our scanning pipeline: multi-camera calibration, feature-based reconstruction, structure-from-motion, and high-precision mesh optimization. Integrating learned components where they outperform classical methods. /pulliInverse Rendering /li /ulpDeveloping learning-based systems that recover geometry and physically-based materials from captured imageryNeRF variants, Gaussian splatting, differentiable rendering, material decomposition, and relighting pipelines. /pulliNeural Rendering Material Systems /li /ulpDesigning BRDF models and material representations, building diffusion-based rendering pipelines, and developing intrinsic decomposition models that separate albedo, shading, and material properties from real-world captures. /ph3Fields of Work /h3ulliMulti-camera calibration, SfM, bundle adjustment, mesh processing /liliInverse rendering:



material and geometry estimation from images /liliDifferentiable rendering and appearance decomposition /liliGenerative 3D reconstruction: diffusion-based approaches, feed-forward networks /liliBRDF modeling and physically-based material synthesis /liliIntegration of classical and learned components into production pipelines /li /ulh3Qualifications /h3ulliMaster's or PhD in Computer Science, Computer Vision, Computer Graphics, Robotics, or a related field /lili3+ years of hands-on experience in at least one of the areas described above /liliSolid understanding of either multi-view geometry, physically-based rendering, orgenerative models applied to 3D (diffusion, latent representations) /liliAbility to move between research and production, prototyping fast and shipping clean code /liliStrong programming skills in Python and/or C++ /li /ulh3Nice to Have /h3ulliExperience with differentiable rendering frameworks (Mitsuba 3, nvdiffrast, PyTorch3D) /liliCUDA or GPU-accelerated geometry/rendering pipelines /liliFamiliarity with structured light systems, photogrammetry, or appearance capture /liliPublished research or open-source contributions in 3D vision, graphics, or ML /liliExperience with USD/MaterialX, Unreal, or real-time rendering pipelines /li /ulh3Benefits /h3ulliCompetitive salary and stock options /liliVisa sponsorship and relocation support /liliFlexible working hours and remote work policy /liliParticipation in SIGGRAPH, CVPR, and global AI conferences /liliLunch vouchers, coffee bar and gym access (Durst AG campus) /liliA research environment with real production impact and world-class clients /li /ul /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ak5py