Machine Learning Intern

Role Description

We are looking for a highly skilled and energetic person to help improve and support our revolutionary robotic and vision-based systems for agriculture. You will be joining a world-class research and engineering team to provide critical skills in improving existing systems and pushing the boundaries of our technology.

Job Responsibilities

• Research and develop image-processing and computer-vision algorithms for 2D and 3D scene segmentation.
• Develop effective experiments and methods to detect and characterize model performance issues in long-tail conditions.
• Exploring Deep Learning models and/or frameworks to push the performance frontiers of our current system, including exploring methods in the active learning space.

Qualifications

• Enrollment in or completion of a degree program in Computer Science or a related field.
• Experience working with machine learning systems, with particular emphasis on computer vision and deep learning.
• Experience with Python and deep-learning frameworks like PyTorch.
• Attention to detail and ability to work independently.
• A positive attitude and willingness to take on a variety of tasks as necessary.

Preferred Experience and Skills

• Enrollment in or completion of an advanced degree, e.g., M.S., Ph.D. in CS.
• Advanced proficiency in Python, PyTorch, or related libraries.
• Experience in geometric/classical computer vision and image processing.

Benefits

• Competitive compensation for temporary positions, expected to pay $45–$60 per hour (40 hrs/wk), depending on experience and duration (approximately 3-4 months total).
• Healthy work-life balance and a collaborative and supportive environment.
• Flexible work hours and subsidized lunches.
• A team excited about solving real-world problems with cutting-edge technology.