Descripción de la oferta
About Crisalix 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, we empower some of the world's most recognized plastic surgeons and clinics to enhance patient trust, visualize treatment outcomes, and deliver exceptional results. Position We are looking for a Junior Deep Learning Engineer in Spain. You will join our team of developers and testers with diverse expertise and experience in a creative and international environment. Responsibilities 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. Essential 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. Should be able to pick up an open‑source repo, set it up, and get it running. 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. Experience with generative models (training, fine‑tuning, inference) – diffusion models, GANs, VAEs, etc. Exposure to ML infrastructure and deployment (MLOps, model serving, containerization, CI/CD for ML). What we offer At Crisalix we strive to support our employees in their professional careers by offering great opportunities in an international company with a strong team and state‑of‑the‑art technology. We provide onboarding programs, mentoring, performance review, and training plans – including PhDs – to advance your career. We also host fun events. Work‑life balance is extremely important to us. Our employees can choose what works best for them: work in one of our offices, be fully remote, or the best of both worlds. We believe in a flexible working environment to perform at their best, ensuring a healthy work‑life balance. Apply Please apply in English. Equal Opportunity Statement Crisalix 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
