Research Scientist, AI for Extreme Weather Forecasting

Research Scientists work on a diverse and stimulating range of projects including: developing algorithms and prototype applications, designing and implementing evaluations, and collaborating with Research Engineers to bring our research to real-world impact.

Key responsibilities:

• Providing software design and programming expertise to research projects - pairing closely with Research Scientists to better engineer and implement novel theoretical ideas.
• Digest and understand complex research papers, theory and practice.
• Own, report and present (verbally and in writing) engineering developments and experimental results to both the immediate and broader research teams, and externally. 
• Architect and implement robust and scalable research libraries.
• Implement and evaluate algorithms - acting as a key contributor to the development and iteration throughout the research cycle. 
• Write high quality code (Python and/or C++) to be shared within a research group or more broadly.
• Promoting engineering excellence through mentoring and reviewing.

Our team is especially focused on:

• Machine learning (ML) for weather modelling and forecasting.
• Transformers and graph neural networks
• Probabilistic models and multi-modal learning
• Climate and sustainability-related research.
• A variety of complex problems to work on, with the opportunity to learn constantly through experimentation. 
• Access to a team of leading researchers, engineers and problem solvers to learn from - with the opportunity to contribute your own thinking and specialist knowledge to add to our mission.
• Constant learning, training and development opportunities, from technical courses to being a better presenter - design it to work best for you!
• Access to leading technology, ever-evolving tech stacks and Google-scale systems to allow your work to flourish.
• An opportunity to make contributions to addressing societal challenges.

• PhD degree in computer science, mathematics, physics, electrical engineering, ML or equivalent. Alternatively, 5+ years of research experience in leading AI industry labs.
• Proven experience, either in industry or a research lab, working on complex ML problems and engineering workflows. 
• Strong knowledge and experience of Python.
• Experience with data processing and visualisation.
• Working knowledge of Jax, Tensorflow or similar frameworks.
• Proven knowledge of ML and/or statistics, e.g. deep learning, etc. 
• Strong knowledge of algorithm design - with a proven ability to write ML algorithms from scratch.
• Experience with research and publishing, e.g. authored papers.

• A track record of successful collaborative software development, either open-source (e.g. GitHub) or proprietary (e.g. internships).
• Experience with modelling of environmental systems (e.g., weather, oceans, sea ice).
• Experience in ML for the physical sciences and/or sustainability.
• Experience with large-scale and/or distributed computing.
• Working knowledge of C/C++.