Design and develop large - scale probabilistic flood hazard models at Verisk. Collaborate with experts to deliver flood risk assessment solutions across various geographies.
About the role
- Research Engineer at Liquid Labs designing novel AI architectures and implementing training methods with a focus on adaptive intelligence. Joining a high-context team with a commitment to open research.
Responsibilities
- Join a small, high-context team exploring the limits of adaptive intelligence
- Design and implement novel architectures, training methods, and inference strategies to redefine what efficient AI can do
- Operate at the intersection of research and engineering — translating scientific ideas into working systems
Requirements
- Work fluently in Python and frameworks such as PyTorch, JAX, or TensorFlow
- Have experience in machine learning research or production-grade ML systems
- Move fast from paper to prototype — curiosity backed by precision
- Care about efficiency, scalability, and elegant system design as scientific principles
- Value small, deep-technical teams where impact is immediate and measurable
- Have a track record of publication in tier-1 venues (NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent), demonstrating original contribution and research rigor
Benefits
- Open Science and Impact
- Commitment to transparent, reproducible, open research
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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