Machine Learning Researcher | Python | PyTorch | Machine Learning | Deep Learning | Hybrid, Sea

Machine Learning Researcher | Python | PyTorch | Machine Learning | Deep Learning | Hybrid, Seattle, WA

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 large-scale AI foundation models for weather and energy to production.

• 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 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.

• Proven track record in developing and deploying deep learning models.
• Advanced proficiency in Python and modern ML frameworks (PyTorch, Tensor Flow, 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.

• MSc or PhD in Artificial Intelligence, Computer Science, or a related technical field.
• Published research in prestigious AI conferences/journals (NeurIPS, ICML, etc.).
• Hands‑on experience with transformers, diffusion models, self‑supervised learning, foundation model training/fine‑tuning.

Join us in pushing the boundaries of physics foundation models!

Mid‑Senior level

Full‑time

Information Technology;
Climate Technology Product Manufacturing, Staffing and Recruiting, Climate Data and Analytics