Holy Grail uses electrons to capture carbon dioxide from the atmosphere and contribute to the long term sustainability of humans and other species on Earth
Skills: ML, Python, Machine Learning
We are looking for data scientists to join our team and help bring our modular CO2 scrubbers to market.
This role will be located in Mountain View, candidates should be able to start immediately.
Responsibilities: Implement Gaussian processes, Bayesian neural networks, and other probabilistic architectures. Build active learning samplers and optimizers. Collaborate with mechanical engineers, chemical engineers and design engineers to optimize manufacturing methods
Requirements: Advanced degree in data science or equivalent experience. Experience with Design of experiments and active learning. Ability to communicate complex concepts. Ability to learn quickly and persevere
What to expect: You will join a team passionate about having an impact on climate change and protecting nature. We care about the optimal way to solve a problem and nurture a culture of creativity and collaboration based on quick iterations.
We use electrons instead of pressure or temperature swings to capture carbon dioxide from the atmosphere