Machine Learning Research Engineer / Scientist
Description For Machine Learning Research Engineer / Scientist
Silurian is pioneering the development of foundation models to simulate Earth, with an initial focus on weather prediction. We're seeking Machine Learning Research Engineers/Scientists to join our innovative team working on groundbreaking physics foundation models. The role involves developing, training, and deploying large-scale AI foundation models to advance weather prediction and physical simulations.
The ideal candidate will be responsible for architecting ML models for complex spatiotemporal data analysis, leading end-to-end development of large-scale AI systems, and optimizing training and inference pipelines. You'll conduct validation experiments, spearhead research initiatives, and collaborate with world-class researchers.
We're looking for individuals with strong experience in deep learning, proficiency in Python and ML frameworks, and expertise in distributed training systems. The position offers the opportunity to work on cutting-edge technology with real-world impact, contributing to our mission of modeling infrastructure impacted by weather, including energy grids, agriculture, logistics, and defense.
Our team of 4 is based in Kirkland, WA, but offers flexible working arrangements with remote options. We provide competitive compensation including equity (0.25% - 2.00%) and the chance to work directly with founders in a YC-funded startup environment. Join us in pushing the boundaries of physics foundation models and helping simulate the Earth's complex systems.
Responsibilities For Machine Learning Research Engineer / Scientist
- 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
Requirements For Machine Learning Research Engineer / Scientist
- 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
Benefits For Machine Learning Research Engineer / Scientist
- Equity (0.25% - 2.00%)
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