Machine Learning Intern (f/m/x)

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.

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.