Process Systems Engineering - AI And Machine Learning Co - op

Grow Your Career. Be The Difference.

Leading the commercialization of ground-breaking technology that captures CO₂ directly from air is challenging and exhilarating. As a member of the CE team, you'll be surrounded by smart, adventurous, curious people committed to progressing our Direct Air Capture (DAC) and AIR TO FUELS™ technologies. We're a diverse team of innovators hailing from around the world with a shared vision, purpose, and commitment to deliver large scale climate change solutions. Our headquarters is in Squamish, B.C., and our presence is expanding in many other markets around the world as we commercialize our technologies.

Our culture combines our heritage as a small company with our ambitious goals. We have a passion for what we do and believe our work will have a true and lasting impact on the world. Many of our employees are drawn to CE because of the direct connection between the game-changing work we do and their own personal values.

At our core, Carbon Engineering values integrity, growth, excellence in execution, and fun. This is an environment where people matter, and contributions are noticed. Our employees work hard and are given the opportunity to learn and grow from mistakes. Diversity is embraced, and we value an inclusive work environment where every employee has an equal opportunity to be heard. We work in a dynamic environment and thrive on tackling rewarding and complex problems as a team.

Position Scope

Reporting to the Senior Systems Engineer, Advanced Automation and Data Integration, the selected candidate will collaborate with the Process Systems Engineering team applying a range of tools and techniques to deliver process modelling, data analytics, advanced automation, and process intelligence solutions. The primary objective is to contribute to projects that enhance CE's technologies and improve operations for the broader CE team.

• This position is an 8 month or longer co-op term. Expected start is January 2026.
• This position is on-site and based in Squamish, BC.
• The work schedule follows a M-F, 40hrs/week schedule.
• Relocation support is provided.
• This position pays $22-26/hour.
• Expected start date is January 2026.

Health, Safety and Environment:

• Demonstrate a positive safety culture.
• Identify, report and resolve unsafe conditions, processes or actions within the workplace.
• Ensure that all safety related incidents, accidents and near misses are reported and investigated in line with company policy.

Technical Responsibilities:

• Assist in the development and maintenance of a material property database using high-throughput modeling and/or existing data sources.
• Improve and automate data extraction pipelines to enhance efficiency and reliability.
• Ensure data quality and consistency across large datasets.
• Contribute to the development of recommendation systems for AI-guided experiments.
• Support efforts to reduce experimental costs and improve model accuracy through data-driven approaches.
• Optimize active learning workflows, including techniques such as Bayesian optimization.
• Collaborate with team members to refine data processing automation and integrate feedback into iterative improvements.

Education and Experience

Education and Knowledge:

• 3rd year undergraduate student in Chemical Engineering, with coursework or experience in data analytics, statistics, machine learning, optimization, or computational modeling.

Required Technical Skills:

• Hands-on experience in Python programming, preferably applying it to data analytics and machine learning tasks.
• Solid understanding of commonly used data analytics, statistical methods and machine learning including their purposes and applications.

• Familiarity with widely used machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
• Knowledge of the scientific Python ecosystem (e.g., NumPy, SciPy, Pandas, Matplotlib, Seaborn).

Desirable Technical Skills:

• Exposure to advanced machine learning topics such as Active Learning (AL), Autoencoders, or Generative models.
• Familiarity or experience with SQL and Git.
• Experience with commercial process simulation software such as Aspen Plus.

Required Soft Skills:

• Strong communication skills, both written and verbal, to effectively collaborate with team members and share ideas.
• Curiosity and a willingness to learn, especially in fast-paced or evolving technical environments.
• Adaptability and problem-solving mindset, with the ability to navigate ambiguity and contribute to creative solutions.
• Team-oriented attitude, with a focus on collaboration, respect, and mutual support.
• Time management and organizational skills, to balance multiple tasks and meet deadlines efficiently.
• Attention to detail, ensuring accuracy and quality in both technical and non-technical work.

Joining Carbon Engineering provides you more than a career – it's a calling for those who are ready to make a difference in climate action. We provide hope.

Carbon Engineering is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants are encouraged to apply and will receive equal consideration for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age.