Sr Machine Learning Engineer

Job Description

• Develop machine learning, computer vision, and deep learning models for object detection and recognition of objects in farm environments, using input from multiple sensors (e.g., images and videos) • Integrate new sensors into the robotics system and fuse the detection results from multiple sensors to improve system performance in harsh environments • Technical milestone communication

Qualifications

• Master’s degree in Computer Science, Machine Learning, Electrical engineering, or related field plus 5 years of related experience • Develop efficient algorithms and improve system performance using object-oriented programming using C, C++ (5 years) • Conduct independent research and development work for detecting and tracking objects in the world using images from cameras using OpenCV, and Python (4 years) • Integrate computer vision models/algorithms into the production software stack and ensure end-to-end functionality using C++ knowledge (4 years) • Improve scene understanding and depth estimation using 3D geometry and deep learning techniques using knowledge of multi-view geometry (4 years) • Define and implement metrics for computer vision model evaluation (4 years) • Write unit tests for various pieces of C++/Python code to ensure the highest code quality (4 years) • Evaluate, debug, and improve the performance of computer vision models/algorithms (4 years)

Benefits

• May work remotely; periodic time in office required; must live within commuting distance of the office