Machine Learning Research Engineer | Diffusion Models| Generative Models | Pytho

Role OverviewMachine Learning Research Engineer | Diffusion Models| Generative Models | Python | PyTorch | Seattle, WAWe are seeking Machine Learning Research Engineers / Scientists to join our team working on groundbreaking foundation models. The successful candidate will develop, train and deploy to production large-scale AI foundation models for applications within weather and climate change.In short, the client is looking for a Machine Learning Research Engineer who has proven experience working on topics such as –Diffusion modelling, LLMs and Neural networks.What You’ll DoArchitect and implement innovative ML models for complex spatiotemporal data analysis.Lead end-to-end development of large-scale AI systems, from research to production.Drive the optimisation of training and inference pipelines for maximum performance.Conduct validation experiments and performance analysis.Spearhead long-term research initiatives with significant real-world impact.Collaborate with world-class researchers and engineers.We expect you to haveProven track record in developing and deploying deep learning models.Advanced proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, Jax).Demonstrated experience with distributed training systems and large-scale data pipelines.Strong software engineering practices and system design principles.Excellent problem-solving and analytical skills.Outstanding communication and collaboration abilities.Nice to haveMSc or PhD in Artificial Intelligence, Computer Science, or related technical field.Published research in prestigious AI conferences/journals (NeurIPS, ICML, etc.).Hands-on experience with one or several of the following: transformers, diffusion models, self-supervised learning, foundation model training/fine-tuning.Join us in pushing the boundaries of physics foundation models!For immediate consideration, please send your CV to tom@enigma-rec.ai #J-18808-Ljbffr