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Silurian
3 months ago
englandfulltimegb / seattlelondonmachine learningus / remote (gb; us)wa

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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 to advance the state-of-the-art in weather prediction and large-scale physical simulations more generally. 

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 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 have

* Proven 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 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 physics foundation models!

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