Computer Vision & 3D Deep Learning Engineer

excellence-focusing on measurable outcomes, strong data analytics, and operational precision to ensure Crisalix remains a transformative force in the aesthetic industry. Crisalix Challenge Crisalix business is growing after our history of more than 15 years, and we have new products that require the best talent in our team. Are you ready for the challenge? Then this might be your opportunity We are looking for a successful Mid-Level Computer Vision & 3D Deep Learning Engineer to join our fantastic team. At Crisalix, we empower our product teams to solve hard problems - customer problems and business problems - in ways that our customers love, yet work for our business. Our product teams are cross-functional and durable, generally composed of a product manager, a product designer, and several engineers. The team We are a market leading multinational company focused on innovation and developing state-of-the-art 3D to bring aesthetic consultations to the next level. That's why we are

looking for you We are looking for specialists who want to be part of this challenging adventure. About the Role We are looking for a Computer Vision Engineer with a solid background in deep learning and 3D data processing to join our team. You will work on developing and deploying models that understand and reconstruct the visual world, contributing to production-grade pipelines that take multi-view 2D images and produce high-quality 3D reconstructions (from statistical shape models to implicit neural representations and texture synthesis). at the intersection of classical 3D geometry and modern neural approaches. This role is ideal for someone with 2-3 years of hands-on experience who enjoys bridging research and production, and is comfortable designing and training pipelines, evaluating reconstruction quality, and integrating your work into a complex multi-stage system. Responsibilities Research, prototype, and integrate new deep learning algorithms from recent literature (NeurIPS, CVPR, ICCV, ECCV) to improve 3D reconstruction quality. Develop and maintain deep learning components for multi-view reconstruction, landmark detection, segmentation, inpainting, and view-consistent shape fitting. Implement and tune custom training pipelines and loss functions, and evaluate their impact on mesh and texture quality. Design and run quantitative evaluation experiments using metrics such as reprojection error, surface-to-surface distance, and perceptual quality scores Export and deploy trained models for inference (TorchScript/JIT, Triton Inference Server,..) The skill set 2-3 years of hands-on experience in computer vision and deep learning research or applied engineering Solid understanding of camera models, projective geometry, and multi-view geometry (epipolar geometry, camera calibration, reprojection) Experience training and debugging neural networks end-to-end, including custom loss functions, learning rate scheduling, and training stability Comfortable reading and implementing methods from academic papers Strong Python skills; proficiency with PyTorch (primary) and/or TensorFlow Comfortable working in a research codebase with complex multi-stage pipelines Fluent or proficient in English (Spanish is a plus). We would also value highly positively Experience with 3D vision techniques (e.g. NeRFs, differentiable rendering, SLAM). Understanding of implicit surface representations: Signed Distance Functions (SDFs), occupancy networks, NeRF/neural radiance fields Familiarity with classical 3D fitting approaches: statistical shape models (PCA-based), iterative closest point (ICP), mesh deformation Knowledge of differentiable rendering concepts: ray marching, sphere tracing, volume

Crisalix - Redefining Aesthetic Visualization Crisalix is the world's leading technology company in 3D imaging and aesthetic simulation. Leveraging the latest advancements in Artificial Intelligence , Computer Vision and Augmented Reality , our proprietary technology enables the creation of highly accurate 3D reconstructions of the human body and lifelike simulations of aesthetic procedures. With a global presence across five continents , Crisalix empowers some of the world's most recognized plastic surgeons and clinics to enhance patient trust, visualize treatment outcomes, and deliver exceptional results. Our solutions are designed not only to elevate the patient experience , but also to drive tangible business growth for clinics-helping them stand out in an increasingly competitive market, expand their offerings, and increase revenues. As we continue to grow worldwide, we are committed to setting new standards in innovation and customer success . We seek to inspire through