Job description

## Role Overview We are seeking Machine Learning Research Engineers / Scientists to join our team working on groundbreaking physics foundation models. The successful candidate will develop, train and deploy to production large-scale AI foundation models for weather, energy, and beyond. ## What You'll Do * Architect 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 optimization 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 have * Proven track record in developing and deploying deep learning models. * Advanced proficiency in Python and modern ML frameworks (PyTorch, Jax or similar). * 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 have * MSc 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 foundation models for the physical world!

Machine Learning Research Engineer / Scientist

Machine Learning Research Engineer / Scientist · Silurian

Get the Saturday tech briefing