SpexAI is revolutionizing controlled environment agriculture (CEA) with AI-driven multispectral imaging solutions. Our technology helps cannabis and other high-value crop cultivators optimize yields, detect diseases early, and improve quality control. As an ML Intern, you’ll contribute to cutting-edge AI applications in agriculture, working alongside a team passionate about transforming plant cultivation with data-driven insights.

Remote

Responsibilities

You will contribute to our research and development efforts, applying computer vision and deep learning techniques to multispectral imaging data.

Support the development and optimization of machine learning models for plant health monitoring and growth prediction.
Work with multispectral imaging data to clean, preprocess, and enhance model performance.
Assist in integrating AI models into real-world greenhouse environments and production pipelines.
Experiment with deep learning architectures for plant disease detection and trait analysis.
Collaborate with the engineering team to refine image-processing algorithms.
Stay updated on the latest research in ML, computer vision, and AgTech applications.

Requirements

Ideal candidates should have experience with ML frameworks, image processing, and an eagerness to learn.

Currently pursuing or recently completed a degree in Computer Science, Data Science, AI, or a related field.
Experience with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with image processing techniques (OpenCV, PIL) and deep learning for computer vision.
Understanding of data preprocessing, augmentation, and model evaluation techniques.
Interest in AgTech, precision agriculture, or imaging technologies.
Bonus: Experience with cloud platforms (AWS, GCP) or MLOps pipelines.

At SpexAI, we offer more than just an internship—we provide an opportunity to work with cutting-edge technology, gain hands-on experience in AI-driven agriculture, and be part of a team shaping the future of cultivation.

Hands-on experience in a rapidly growing AI startup.
Opportunity to work on real-world ML applications with impact in agriculture.
Mentorship from experienced AI engineers and domain experts.
Flexible work environment (remote-friendly).
Potential for a full-time position based on performance.

Become part of our team!

We will be glad to see you in our team!

Fill out the form, send your CV and we’ll get back to you soon

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