Path Robotics
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As a Staff Machine Learning Engineer, you will develop algorithms for robotic welding perception, lead R&D initiatives in welding problems using multi-modal data, collaborate with teams on deep learning system evaluation, and integrate technologies for autonomous welding robots.
As a Staff Machine Learning Engineer, you will develop and implement algorithms for robotic perception in welding tasks, collaborate with teams on experiments, and drive innovation in AI-driven robotic welding solutions. Your expertise in computer vision, deep learning, and machine learning will be pivotal in solving complex challenges in the welding domain.
Seeking a highly skilled Senior Computer Vision Engineer to join AI - Perception team, develop and implement advanced computer vision algorithms, train large-scale models, collaborate with teams, mentor junior members, and stay updated with latest advancements in computer vision and deep learning.
Lead end-to-end deployment projects of robotics systems, collaborate with cross-functional teams, manage project risks and issues, ensure timely delivery to customer sites, facilitate status meetings, and drive post-deployment activities.
Lead the design and development of innovative automation products, collaborate with cross-functional teams, manage multiple projects, ensure compliance with industry standards, and continuously improve design processes.
Seeking a skilled and motivated Robot Manipulation Engineer with expertise in modern robotics and manipulation to join the AI - Manipulation team at Path Robotics. Responsibilities include designing and implementing advanced manipulation algorithms, developing learning-based methods for motion control, collaborating with cross-functional teams, and staying updated with the latest advancements in robotics. Candidates should have a Master's degree or Ph.D. in Robotics or related field, experience with machine learning techniques, strong programming skills, and proficiency in reinforcement learning techniques.
