Unknown Company
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.
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 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 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!
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function & Industries
Information Technology; Climate Technology Product Manufacturing, Staffing and Recruiting, Climate Data and Analytics
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