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.

• 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

• 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

• 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

• Stock options
• Paid time off
• Paid sick leave
• Health & dental insurance
• 401K