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Process Systems Engineering - AI and Machine Learning Co-op
Process Systems Engineering - AI and Machine Learning Co-opOxy • Squamish, Squamish-Lillooet Regional District, CA
Process Systems Engineering - AI and Machine Learning Co-op

Process Systems Engineering - AI and Machine Learning Co-op

Oxy • Squamish, Squamish-Lillooet Regional District, CA
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

Process Systems Engineering - AI and Machine Learning Co-op

Join the Process Systems Engineering - AI and Machine Learning Co-op role at Oxy.

Carbon Engineering is a diverse team of innovators working on ground-breaking technology that captures CO₂ directly from air. 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.

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.

Position Scope

Reporting to the Senior Systems Engineer, Advanced Automation and Data Integration, the selected candidate will collaborate with the Process Systems Engineering team to deliver process modelling, data analytics, advanced automation, and process intelligence solutions.

  • This position is an 8 month or longer co-op term.
  • 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.

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

  • 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.
  • 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, colour, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age.

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