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 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 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 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

Benefits

• Stock options

• Paid time off

• Paid sick leave

• Health & dental insurance

• 401K