X is looking to apply advanced ML techniques to solve key challenges in the weather/climate space, aiming to radically accelerate understanding of the world and push the limits of science and modeling.
Requirements
- Working experience with Deep Learning Models and data pipelines.
- Working experience with Atmospheric/Oceanic numerical models (such as WRF or ROMS).
- Fluent in Python, ML APIs (Tensorflow, Pytorch or JAX)
- Very strong analytical skills. Ability to gather and analyze large quantities of information, and turn them into insightful business recommendations
- Good at problem stating and problem solving, and turning ambiguous problem spaces into radical solutions. Must be able to break down problems independently
- Experience in using distributed computing resources, such as GCP, AWS, Azure or HPC clusters
Responsibilities
- Collaborate with the confidential X Project team to apply advanced ML techniques to problems in the weather/climate space.
- Suggest a number of ways in which ML and other techniques can apply to those challenges.
- Prototype solutions.
- Work closely with team members to implement solutions.
- Lead and participate in cutting-edge research and application in artificial intelligence applied to problems in the climate/weather space.
- Develop, implement, and deploy robust, scalable ML/AI solutions for climate/weather applications.
- Contribute to code reviews, establish best practices for ML engineering, and optimize code for performance and scalability.
Other
- Active PhD program in Computer Science, Artificial Intelligence, Atmospheric/Oceanic Science or a related technical field.
- Can do attitude, willing to learn new tools and content to become an effective thought partner with project teams
- Excellent communication skills i.e experience writing strategy docs, experience delivering presentations, and a general openness to liaise with senior external partners
- Motivated by making the world a better place through technology, and wanting to be part of a team that makes this happen
- An ability to thrive on ambiguity, setting own goals and effectively delivering them in a fast-changing environment
