Machine Learning Research Engineer / Scientist
Hybrid (Seattle, WA)$120k - $250kFull-timePosted 11mo ago
About the role
Machine Learning Research Engineers / Scientists to develop, train and deploy large-scale physics foundation models for weather, energy, and related domains at Silurian.
Responsibilities
- 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.
Qualifications
- 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.
Skills
Required:PythonPyTorchDistributed trainingSoftware engineeringCommunication & collaboration
Nice to have:Jax
Last updated Aug 26, 2026. Interested? Apply on the company site.
About Silurian
Foundation models to simulate Earth, starting with weather.
Silurian is building foundation models for simulating Earth, starting with weather. From assessing the risk of wildfires to predicting the energy grid load, we provide an infrastructure layer for our planet. Our frontier models push the boundaries of what can be simulated on Earth and improve decision making across vital sectors including energy, insurance, agriculture, and logistics.
artificial-intelligenceclimateinsuranceagricultureenergy