Staff Computer Vision - Machine Learning Engineer

September 17

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Path Robotics

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Fluid and Solid Mechanics • Robotics and Automation • Instrumentation and Data Analysis • Software and Database Solutions • manufacturing

201 - 500

💰 $100M Series C on 2021-07

Description

• Develop and implement algorithms for Robotic Perception specifically tailored for welding tasks, including integration, calibration, and fusion of vision sensors such as RGB/GigE, LiDAR, ToF depth sensors, Kinect, RGB-D, and Fish-eye cameras. • Leading R&D initiatives aimed at addressing challenges related to novel problems in the welding domain, using multi-modal image and point cloud data as input, and solving unique domain specific welding problems. • Collaborate with cross-functional teams to design and execute experiments to evaluate the efficacy of deep neural networks and machine learning systems, encompassing processes, parameters, algorithms, and equipment, with a focus on deep learning. • Stay updated on the latest advancements in Robotics, Computer Vision, and ML research, and integrate relevant technologies into autonomous welding robot developments.

Requirements

• PhD or MS in Computer Science with a focus on Computer Vision and Machine Learning, or equivalent practical experience/education, with a strong foundation in neural networks and data driven models. • Over 5 years of experience dedicated to pioneering novel machine learning algorithms/applications, including more than 3 years of industry exposure to designing, developing, and deploying real-world deep neural network models using Python. • Have a strong understanding and demonstration of test driven coding standards with experience in deploying production code. • Enthusiastic about joining a venture-backed start-up company, recognizing the immediate and direct influence your work will have.