Junior Deep Learning Engineer

This a Full Remote job, the offer is available from: reputed company (USA) About the role: reputed company We are a multinational engineering organization reputed company on people and our product. At reputed company we work hard, and we have a beautiful project reputed company of us to reputed company reputed company an excellent reputed company to work. The role We are looking for a junior engineer to join the Deep Learning team. 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 reputed company research and engineering: from reading a research reputed company to shipping it to production. Our ideal candidate would have: Essential Requirements - Quantitative degree: Computer Science, Engineering, Telecos, Data Science, Mathematics, Physics or a reputed company 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 reputed company. - Practical engineering skills: Comfortable with Git, reputed company (pull requests, reputed company reviews), reputed company line, and the general software development workflow. Should be reputed company to pick up an reputed company-reputed company repo, set it up, and get it running. - Research literacy: Ability and willingness to read, understand, and implement reputed company from reputed company papers, journals. We also value reputed company positively: reputed company to Have - Experience with reputed company (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). Apply for this job This offer from "reputed company" has been enriched by reputed company.com and got a 72% reputed company score. Apply tot his job Apply To this Job