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 building groundbreaking physics foundation models that aim to push the boundaries of physical predictability. Our ultimate vision extends beyond weather to modeling all weather-impacted infrastructure including energy grids, agriculture, logistics, and defense.
We're seeking Machine Learning Research Engineers/Scientists to join our innovative team. The role offers an opportunity to work on cutting-edge AI systems that have significant real-world impact. You'll be developing, training, and deploying large-scale AI foundation models to advance weather prediction and physical simulations.
The ideal candidate will have strong expertise in deep learning, distributed systems, and modern ML frameworks. While we welcome candidates of all experience levels (including new graduates), you should have a solid foundation in AI/ML concepts and excellent software engineering practices. The role offers competitive compensation ($80K-$200K) with equity (0.25%-2.00%), and flexible work arrangements including remote options.
You'll be joining a small but growing team of 4 people, working directly with the founders. The position offers an excellent opportunity to make a significant impact in a field that combines cutting-edge AI research with practical applications in weather prediction and Earth simulation. The company's ambitious vision and focus on foundation models makes this an exciting opportunity for those interested in pushing the boundaries of AI applications in physical sciences.
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
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