Descripción de la oferta
About CrisalixPor favor, lea detenidamente la información de esta oferta de empleo para entender exactamente qué se espera de los posibles candidatos.Crisalix – Redefining Aesthetic VisualizationCrisalix 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 excellence—focusing on measurable outcomes, strong data analytics, and operational precision to ensure Crisalix remains a transformative force in the aesthetic industry.The ChallengeCrisalix business is growing, and we have new products that require the best talent in our team.Are you ready for the challenge?Would you like to join the world's leading tech company in the field of 3D aesthetic simulation?Then this might be your opportunity!We are looking Junior Deep Learning Engineer in Spain.RoleYou will join our team of developers and testers with diverse expertise and experience in a creative and international environment.You will work across the full model development lifecycle: from generating datasets and training models from scratch, to experimenting with new algorithms and deploying them into production.This is a role where you will grow into an engineer who can bridge research and engineering: from reading a research paper to shipping it to production.ResponsibilitiesGenerate and curate datasets for deep learning models.Train, optimize, and deploy machine‑learning models using PyTorch (or similar frameworks).Perform research literature reviews and translate academic ideas into production‑ready code.Work with Git, GitHub, and the overall software development workflow.Maintain model performance and monitor production stability.QualificationsEssential Requirements– Quantitative degree: Computer Science, Engineering, Telecos, Data Science, Mathematics, Physics or a related field that involves strong numerical and analytical foundations.Deep learning fundamentals: Solid understanding of how models are trained: loss functions, optimization, backpropagation, overfitting, regularization, etc.Python and PyTorch: Proficient in Python and hands‑on experience training models in PyTorch or another major deep learning framework.Practical engineering skills: Comfortable with Git, GitHub (pull requests, code reviews), command line, and the general software development workflow.Research literacy: Ability and willingness to read, understand, and implement ideas from academic papers, journals.Experience with computer vision (image classification, segmentation, landmark estimation, etc.).Experience with 3D reconstruction. Parametric models (SMPL), neural fields (NeRF, gaussian splats).Experience with generative models (training, fine‑tuning, inference). Diffusion, GANs, VAEs, etc.Exposure to ML infrastructure and deployment (MLOps, model serving, containerization, CI/CD for ML).Nice to HaveExperience with computer vision (image classification, segmentation, landmark estimation, etc.).Experience with 3D reconstruction.Experience with generative models (training, fine‑tuning, inference). Diffusion, GANs, VAEs, etc.Exposure to ML infrastructure and deployment (MLOps, model serving, containerization, CI/CD for ML).BenefitsOnboarding programs, mentoring, performance review, and training plans/PhDs.Fun events.Work‑life balance: flexible working environment, remote or office, hybrid options.Professional development support.How to ApplyIf you would like to know us too, please apply in English or send an email ****** this role not an exact fit?Sign up to keep in touch and we'll let you know when we have new positions on our team. xcskxlj Equal Employment OpportunityCrisalix is committed to equality of opportunity for all staff, and applications from all suitably qualified individuals are encouraged, regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.#J-18808-Ljbffr