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Description
About Verdant Robotics:
Verdant Robotics, located in Hayward, CA, develops AI-powered farming implements and data solutions for agriculture. Their flagship product, the Sharpshooter, uses proprietary Bullseye Technology for millimeter-accurate weeding, thinning, and fertilization across various crops and field types. The company focuses on creating environmentally friendly, sustainable, and highly productive farming methods. They offer competitive pay and a positive team environment.
Description: Machine Learning Intern
As a Machine Learning Intern at Verdant Robotics, you will work closely with the Director of Machine Learning and the Software team to design, implement, and deploy machine learning solutions. Your responsibilities will include:
• Learning the Agricultural Domain: Gaining a thorough understanding of agricultural practices from the ML and Field teams.
• Machine Learning Solutions Development: Designing and implementing machine learning solutions for outdoor agricultural robotics, encompassing computer vision and other relevant machine learning applications.
• End-to-End Ownership: Taking ownership of the entire machine learning process, from data collection and labeling to field testing.
• System Optimization: Collaborating with the team to design and optimize machine learning systems for outdoor agricultural robotics.
Currently pursuings:
• Proficiency in Python: Essential for the role.
• Hands-on Machine Learning Experience:** Demonstrated experience working with real-world data and machine learning techniques.
• Research Comprehension:** Ability to understand and discuss relevant machine learning research literature.
• C++ Familiarity (Preferred): Experience with C++ is beneficial, with C++ and CUDA expertise opening up additional opportunities.
• Neural Network Library Experience:** Familiarity with PyTorch or another neural network library.
• Self-Motivation and Independence:** Ability to work independently and take initiative.
• Excellent Communication and Collaboration Skills:** Strong communication and collaboration skills are crucial, especially for handling time-sensitive tasks.
While a Master’s or PhD in Computer Science or a related field is beneficial, it is not strictly required. The internship’s scope will adapt based on the intern’s experience level.