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Holy Grail developed a direct air carbon capture technology that removes CO2 from the atmosphere and permanently stores it above the ground. We are looking for proactive candidates ready to take ownership and passionate about creating a scalable solution to removing excess CO2 from the atmosphere.
Requirements
Ability to work independently and take ownership of their own projects
Strong background in machine learning, including experience with algorithms such as regression, clustering, and neural networks
Experience with data analysis and visualization tools, such as Python, R, or MATLAB
Familiarity with databases and SQL
Excellent analytical and creative problem-solving skills
Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders and collaborate effectively with other team members
Degree in Computer Science, Electrical Engineering, or related field
Responsibilities
Work with the plant operations team to identify areas for optimization
Design and implement machine learning algorithms to analyze plant data
Develop data pipelines and ETL processes to prepare data for analysis
Test and validate machine learning models to ensure accuracy and reliability
Collaborate with other team members to integrate machine learning solutions into the plant operations workflow
Nice to have
Experience with probabilistic machine learning and active learning
Experience with Bayesian machine learning
Experience with closed-loop research systems
Experience with cloud computing platforms such as AWS or Google Cloud
Familiarity with big data technologies such as Hadoop or Spark
Knowledge of control systems and process automation
Experience with deep learning and computer vision
What We OfferYou will join a team that is passionate about having an impact on climate change. We care about the optimal way to solve problems and nurture a culture of creativity and collaboration. We care about quick iterations, minimizing assumptions, and we use emojis to label our chemicals. We work on interesting technical problems and provide support and resources to tackle them.
Impact: Your contribution will directly impact the company's milestones, and you will fully own your projects
No politics: We give you the resources to test all your wildest ideas in hours or days, not months
Ownership: Not only you will own your projects you will also own part of the company
Autonomy: We welcome your independent perspective and embrace thought diversity and creative freedom
Flexibility: We encourage you to set and manage your time to achieve our shared goals, and we offer a less rigid environment and company structure compared to academia and larger companies
Fun: We cultivate an informal environment that is focused on the end goal but celebrate all our wins along the way
Introduction: My name is Domingo Moore, I am a attractive, gorgeous, funny, jolly, spotless, nice, fantastic person who loves writing and wants to share my knowledge and understanding with you.
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