{"id":56642,"date":"2026-06-29T17:12:23","date_gmt":"2026-06-29T15:12:23","guid":{"rendered":"https:\/\/arbrea-labs.com\/?page_id=56642"},"modified":"2026-07-01T13:02:34","modified_gmt":"2026-07-01T11:02:34","slug":"applied-research-engineer-3d-reconstruction-deep-learning","status":"publish","type":"page","link":"https:\/\/arbrea-labs.com\/sq\/applied-research-engineer-3d-reconstruction-deep-learning\/","title":{"rendered":"Applied Research Engineer – 3D Reconstruction & Deep Learning"},"content":{"rendered":"
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Bashkohuni me ekipit ton\u00eb<\/h4>

Inxhinier i K\u00ebrkimit t\u00eb Aplikuar - Rikonstruksion 3D & M\u00ebsim Thell\u00eb (Deep Learning)<\/h1>\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n\n\t
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Rreth Arbrea Labs<\/b><\/h2>\n

Arbrea Labs \u00ebsht\u00eb nj\u00eb spin-off i ETH nga Laboratori i Grafik\u00ebs Kompjuterike n\u00eb <\/span>ETH Cyrih<\/span><\/a>. Ne jemi nj\u00eb ekip specialist\u00ebsh n\u00eb grafik\u00eb kompjuterike, vizion kompjuterik, simulim t\u00eb bazuar fizikisht dhe inteligjenc\u00eb artificiale, duke nd\u00ebrtuar mjete t\u00eb avancuara t\u00eb AI, AR dhe 3D p\u00ebr estetik\u00ebn mjek\u00ebsore dhe kirurgjin\u00eb plastike.<\/span><\/p>\n

Softueri yn\u00eb u lejon kirurg\u00ebve dhe mjek\u00ebve estetik\u00eb t\u00eb kapin imazhin e nj\u00eb pacienti me nj\u00eb iPad ose iPhone dhe, n\u00eb m\u00eb pak se dy minuta, t\u00eb gjenerojn\u00eb nj\u00eb avatar digjital njer\u00ebzor p\u00ebr t\u00eb parashikuar rezultatet e mundshme p\u00ebr procedurat e gjirit, fytyr\u00ebs dhe trupit \u2014 duke p\u00ebrmir\u00ebsuar komunikimin, besimin dhe k\u00ebnaq\u00ebsin\u00eb e pacientit. Produktet tona, duke p\u00ebrfshir\u00eb Arbrea Suite<\/a>, Gjiri Arbrea<\/a>, Arbrea Face<\/a>, Arbrea Body<\/a>, dhe myArbrea<\/a>, p\u00ebrdoren nga klinikat kryesore n\u00eb mbar\u00eb bot\u00ebn, dhe e reja jon\u00eb Arbrea 3.0<\/a> lansimi i bashkon ato n\u00eb nj\u00eb ekosistem t\u00eb vet\u00ebm t\u00eb pand\u00ebrprer\u00eb.<\/span><\/p>\n

Mb\u00ebshtetur nga talente t\u00eb nivelit bot\u00ebror nga ETH Cyrih dhe Disney Research dhe t\u00eb mb\u00ebshtetur nga Innosuisse dhe Venturelab, ne po k\u00ebrkojm\u00eb t\u00eb zgjerojm\u00eb ekipin ton\u00eb me njer\u00ebz ky\u00e7 q\u00eb kan\u00eb aft\u00ebsi t\u00eb forta teknike dhe nj\u00eb d\u00ebshir\u00eb t\u00eb v\u00ebrtet\u00eb p\u00ebr t\u00eb m\u00ebsuar dhe p\u00ebr t'u p\u00ebrfshir\u00eb n\u00eb nj\u00eb mjedis start-up. Ne marrim parasysh kandidat\u00eb me koh\u00eb t\u00eb plot\u00eb, si dhe praktikant\u00eb q\u00eb mund t\u00eb kalojn\u00eb plot\u00ebsisht n\u00eb ekip.<\/span><\/p>\n

Rreth Rolit<\/b><\/h2>\n

As an Applied Research Engineer with a focus on 3D Reconstruction & Deep Learning at Arbrea Labs, you will build the core computer vision engines and neural pipelines that capture, digitize, and transform real human bodies into high-fidelity 3D digital twins. Your work sits at the interface between research and production: developing advanced 3D perception models, iterative reconstruction workflows, and generative AI features that power hyper-realistic, real-time surgical and aesthetic outcome previews directly on an iPad or iPhone.<\/span><\/p>\n

As one of the key people on the team, you will have a strong influence on the core AI and vision technology behind our entire product ecosystem. This will give you, together with the team, the opportunity to grow into world leaders in AI- and AR-driven medical aesthetics. You will work with friendly, passionate, and easy-going colleagues who are very willing to offer guidance and have a beer at regular team events. The environment is flexible, with offices in a leading technology hub, attractive salaries, and employee participation plans.<\/span><\/p>\n

P\u00ebrgjegj\u00ebsit\u00eb<\/b><\/h2>\n

Our R&D environment is agile; while you will initially deep-dive into specific projects, you will have the opportunity to expand your scope and shift between different pillars of our 3D AI stack as our technology evolves.<\/span><\/p>\n

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  • Advance 3D Perception: Develop and optimize deep learning architectures for one-shot 3D reconstruction, multi-view segmentation, depth estimation, or pose tracking.<\/span><\/li>\n
  • Build Next-Gen Reconstruction Systems: Develop robust 3D reconstruction pipelines aimed at high-accuracy 3D generation and progressive shape optimization.<\/span><\/li>\n
  • Explore Generative 3D AI: Research and prototype generative models for controllable 3D generation, editing, or intelligent content inpainting.<\/span><\/li>\n
  • Improve Model Performance: Optimize scalability and inference speed across mobile and cloud platforms.<\/span><\/li>\n
  • Collaborate & Deploy: Work with software engineers and product teams to transition experimental R&D models into robust, production-ready features.<\/span><\/li>\n
  • Cultivate Technical Agility: Learn quickly and adapt across different pillars of our 3D AI stack (perception, reconstruction, and generation) as product priorities and research directions evolve.<\/span><\/li>\n
  • Contribute to Innovation: Participate in patent creation and the design of innovative product features.<\/span><\/li>\n<\/ul>\n

    K\u00ebrkesat<\/b><\/h2>\n
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    • MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.<\/span><\/li>\n
    • Strong software engineering fundamentals in Python and Deep Learning frameworks (primarily PyTorch).<\/span><\/li>\n
    • Solid understanding of 3D computer vision (e.g., multi-view geometry, calibration), practical experience training deep neural networks (e.g., CNNs, Transformers, generative models), and hands-on experience handling 3D data representations (e.g., meshes, point clouds, implicit surfaces)<\/span><\/li>\n
    • Experience deploying AI models in production environments.<\/span><\/li>\n
    • Aft\u00ebsi t\u00eb shk\u00eblqyera komunikimi n\u00eb gjuh\u00ebn angleze.<\/span><\/li>\n
    • I gatsh\u00ebm t\u00eb marr\u00eb p\u00ebrsip\u00ebr p\u00ebrgjegj\u00ebsi dhe t\u00eb jem pjes\u00eb e nj\u00eb sip\u00ebrmarrjeje me rritje t\u00eb shpejt\u00eb.<\/span><\/li>\n<\/ul>\n

      E d\u00ebshirueshme<\/b><\/h2>\n
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      • Domain Experience: Background in medical imaging, healthcare AI, or digital human modeling.<\/span><\/li>\n
      • Neural Graphics & Rendering: Familiarity with neural rendering, novel view synthesis, or differentiable rendering techniques (e.g., Gaussian Splatting, NeRFs).<\/span><\/li>\n
      • Performance & On-Device Deployment: Experience optimizing models for real-time inference and deploying them in resource-constrained environments (e.g., mobile devices, edge computing, or web) using tools like CoreML, TFLite, ONNX, or TensorRT.<\/span><\/li>\n
      • Publications in top AI conferences or journals.<\/span><\/li>\n
      • Experience with MLOps and cloud infrastructure.<\/span><\/li>\n<\/ul>\n

        \u00c7far\u00eb Oferojm\u00eb<\/b><\/h2>\n
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        • Mund\u00ebsi p\u00ebr t\u00eb punuar n\u00eb produkte novatore t\u00eb inteligjenc\u00ebs artificiale q\u00eb p\u00ebrdoren n\u00eb mbar\u00eb bot\u00ebn.<\/span><\/li>\n
        • Mjedis pune fleksib\u00ebl dhe i orientuar drejt inovacionit.<\/span><\/li>\n
        • Ekip nd\u00ebrkomb\u00ebtar studiuesish dhe inxhinier\u00ebsh t\u00eb aplikuar me aft\u00ebsi t\u00eb larta.<\/span><\/li>\n
        • Qasje n\u00eb teknologji m\u00eb t\u00eb reja dhe projekte k\u00ebrkimore t\u00eb zbatuara.<\/span><\/li>\n
        • Pag\u00eb konkurruese dhe paket\u00eb p\u00ebrfitimesh.<\/span><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n<\/div><\/div>\n\t\t
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