Machine Learning & Artificial Intelligence Intern

Core responsibilities:

• Develop and implement machine learning models to optimize hydroponic grow systems
• Work on robotic automation solutions for sustainable agriculture
• Contribute to building scalable production systems using AI and ML technologies
• Collaborate with the team to design and improve hydroponic systems from the ground up

This role helps create sustainable, economical, and scalable vegetable production systems that use 90% less water, reduce food waste, and eliminate harmful environmental impacts compared to conventional agriculture.

Required qualifications:

• Experience with machine learning and artificial intelligence concepts
• Background in computer science, engineering, or related technical field
• Ability to work on complex systems involving robotics and automation
• Strong problem-solving skills and interest in sustainable agriculture

No specific compensation, perks, or culture highlights mentioned in the job description.

Hippo Harvest designs hydroponic grow systems from the ground up for simplicity, robotic automation, and machine learning to build sustainable, economical, and scalable production systems that address climate change, pollution, and population growth challenges.