Machine Learning Engineer

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 projectsStrong background in machine learning, including experience with algorithms such as regression, clustering, and neural networksExperience with data analysis and visualization tools, such as Python, R, or MATLABFamiliarity with databases and SQLExcellent analytical and creative problem-solving skillsStrong communication skills, with the ability to explain technical concepts to non-technical stakeholders and collaborate effectively with other team membersDegree in Computer Science, Electrical Engineering, or related fieldResponsibilities

Work with the plant operations team to identify areas for optimizationDesign and implement machine learning algorithms to analyze plant dataDevelop data pipelines and ETL processes to prepare data for analysisTest and validate machine learning models to ensure accuracy and reliabilityCollaborate with other team members to integrate machine learning solutions into the plant operations workflowNice to have

Experience with probabilistic machine learning and active learningExperience with Bayesian machine learningExperience with closed-loop research systemsExperience with cloud computing platforms such as AWS or Google CloudFamiliarity with big data technologies such as Hadoop or SparkKnowledge of control systems and process automationExperience with deep learning and computer visionWhat We Offer

You 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 will you own your projects, but 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.

Benefits

Stock optionsPaid time offPaid sick leaveHealth & dental insurance401K

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