Machine Learning Engineer

About the role

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

Benefits

Stock options

Paid time off

Paid sick leave

Health & dental insurance

401K

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