Nutrien is a leading provider of crop inputs and services, and our business results make a positive impact on the world. Our purpose, Feeding the Future, is the reason we come to work each day. We’re guided by our culture of care and our core values: We put safety first. We act with integrity. We are stronger together. We deliver with excellence.
Through the collective expertise of our nearly 26,000 employees, we operate a world-class network of production, distribution, and ag retail facilities. We efficiently serve growers' needs and strive to provide a more profitable, sustainable, and secure future for all stakeholders. Help us raise the expectation of what an agriculture company can be and grow your career with Nutrien.
The Computer Vision, AI Co-op will support the development and deployment of AI-driven perception and automated solutions used in real-world operational environments. This role offers hands-on exposure to computer vision, machine learning, data science with a strong focus on practical problem-solving and field validation.
You will work alongside experienced engineers and data scientists to help build, test, and improve intelligent systems that enhance safety, efficiency, and automation. This is an excellent opportunity for students interested in applying AI and automated platforms beyond the classroom in industrial or OT environments.
This Co-op is a 1 year term starting in September.
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Assist in developing and testing computer vision models for tasks such as object detection, tracking, and classification
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Support data collection, cleaning, labeling, and exploratory analysis from cameras and other sensors
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Help train, evaluate, and improve machine learning models under guidance from senior team members
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Contribute to integrating AI models, automated platforms, or edge-compute systems
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Participate in in-field testing, validation, and performance evaluation of deployed systems
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Debug issues, reproduce results, and assist with model and software improvements
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Maintain clear documentation and well-organized code to support reliable, reusable solutions
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Currently pursuing an undergraduate or graduate degree in Engineering, Computer Science, Physics, Mathematics, or a related field
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Basic proficiency in Python and familiarity with programming fundamentals
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Exposure to computer vision, machine learning, robotics, or data science concepts through coursework or projects
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Familiarity with common libraries such as NumPy, OpenCV, PyTorch, or TensorFlow (academic or project experience is sufficient)
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Interest in hands-on, applied AI systems and real-world problem solving
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Strong attention to detail, curiosity, and willingness to learn new tools and technologies
Nice to Have:
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Academic or personal projects involving robotics, computer vision, or sensor data
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Exposure to Linux/Unix environments or version control (Git)
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Interest in industrial, automated solutions, or safety-focused applications
Ready to make an impact with us? Apply today!
The estimated salary that Indeed, Glassdoor and LinkedIn lists does not represent Nutrien's compensation structure. Nutrien is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
This job will remain posted until filled. In accordance with Nutrien policies, you will be required to undergo a background check, and may be required to undergo a substance test. While we appreciate all applications we receive, only candidates under consideration will be contacted. Applicants must meet minimum age requirements, as permitted by law.
Our Recruitment Process: Application > Resume Review > Pre-screen/Interview > Offer > Pre-Employment Conditions > Welcome to Nutrien
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