Descripción de la oferta
Overview Crisalix is the world's leading technology company in 3D imaging and aesthetic simulation. We leverage Artificial Intelligence, Computer Vision and Augmented Reality to create highly accurate 3D reconstructions of the human body and lifelike simulations of aesthetic procedures. With a global presence across five continents, Crisalix supports plastic surgeons and clinics to visualize outcomes, enhance patient trust, and drive business growth. We seek to inspire through excellence with measurable outcomes, strong data analytics, and operational precision. The Role We are looking for a Junior Deep Learning Engineer in Spain. You will join a team of developers and testers in a diverse, 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 role bridges research and engineering—reading a paper and shipping the idea to production. Responsibilities Participate in the full model development lifecycle: dataset generation, model training, experimentation with algorithms, and deployment to production. Collaborate with a multidisciplinary team in a creative, international environment. Bridge research and engineering by translating research papers into production-ready implementations. Qualifications Quantitative degree: Computer Science, Engineering, Telecos, Data Science, Mathematics, Physics or related field with strong numerical/analytical foundations. Deep learning fundamentals: understanding of loss functions, optimization, backpropagation, overfitting, regularization, etc. Python and PyTorch: proficient in Python with hands-on experience training models in PyTorch or another major DL framework. Practical engineering skills: comfortable with Git, GitHub (pull requests, code reviews), command line, and the general software development workflow. Ability to set up and run an open-source repo. Research literacy: ability and willingness to read, understand, and implement ideas from academic papers and journals. Nice to Have: Experience with computer vision (image classification, segmentation, landmark estimation, etc.). Experience with 3D reconstruction (parametric models such as SMPL, neural fields like NeRF, Gaussian splats). Experience with generative models (training, fine-tuning, inference) including diffusion, GANs, VAEs, etc. Exposure to ML infrastructure and deployment (MLOps, model serving, containerization, CI/CD for ML). What We Offer At Crisalix we support employees in their professional careers with a strong international team and state-of-the-art technology. Our onboarding, mentoring, performance reviews, and training plans will advance your career. We offer flexible work arrangements including offices, remote, or a mix, to promote a healthy work-life balance. About Crisalix Crisalix is a leading tech company in 3D aesthetic simulation. Its technology enables highly accurate 3D reconstructions and simulations of aesthetic procedures for recognized clinics across continents. For more information, please visit our website and videos. We are an equal opportunity employer and welcome applications from all suitably qualified individuals regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, and marriage or civil partnerships. #J-18808-Ljbffr
