Machine Learning Research Engineer / Scientist

About Silurian

Foundation models to simulate Earth, starting with weather.

The role

## Role OverviewWe 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!