#Lidar annotator software#

The total compensation package for this position may also include other elements dependent on the position offered. Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Robust medical plan offerings with 0 to limited paycheck deductions

Our benefits package includes the following: You’ve demonstrated you are The Right Stuff You are as crazy-excited about the mission as we are Opportunity to work with a kind, brilliant and supportive team Opportunity to contribute to the mission of transforming how we mine on Earth today and how we will one day mine on the Moon, asteroids & Mars Opportunity to sink your teeth into cutting edge industrial robotics problems Good problem-solving skills, attention to detail, and ability to work independently as well as part of a team.Įxcellent communication skills and ability to present complex technical information to both technical and non-technical audiences.

#Lidar annotator software#

Strong software engineering fundamentals and proficiency in Python.īonus: Experience in deploying models to real robots (outside of simulation), optimizing architectures for accuracy vs. Strong deep learning fundamentals with demonstrated experience building model architectures from scratch. Solid background in one or more computer vision related areas such as object detection, semantic segmentation, instance segmentation. In this role you will have the opportunity to:ĭevelop novel deep learning methods and algorithms that solve complex vision problems in the mining and exploration context, including object detection, semantic segmentation, instance segmentation, and depth estimation.ĭevelop scalable and robust data pipelines that can process large datasets for model training and deployment.īuild and maintain vision datasets by deeply understanding customer requirements and leading data collection and annotation initiatives.Ĭollaborate with cross-functional teams to integrate the ML models with the real robot system.Īt least 3 years of work experience developing and implementing ML models for computer vision tasks based on Camera or LiDAR. You will work closely with other engineers to create robust and reliable vision modules that will deliver the best performance in real-world environments. As a member of the Machine Learning team, you will be responsible for leading the design and implementation of state-of-the-art deep learning algorithms for segmentation, object detection and classification. We are seeking a highly skilled Machine Learning Engineer with expertise in Computer Vision to join our team. Our robotic systems combine sensor information, cutting edge classical/machine learning (ML) algorithms and a robotics real-time system platform for control, decision making and execution. We have designed a modular robotic architecture that focuses on maximizing the commonality and reusability across components for fast deployment and optimization.

Our robots will go deeper underground and farthest on Earth than humans can, eliminate the need for humans to work in life-threatening environments in mining, construction, tunneling and other dangerous industries, and dramatically reduce the environmental footprint and cost of operations in key economies on Earth and beyond. OffWorld’s first challenge is developing and maturing a modular robotic system for extreme environments on Earth. OffWorld was founded by an experienced engineering team drawing on decades of tackling formidable engineering challenges at NASA, ESA, NOAA, Maxar Technologies, CERN, Reaction Engines, SAFRAN, Surrey Satellites and Cisco. OffWorld is a robotics startup working on developing a mobile robotic workforce for heavy industrial jobs on Earth, Moon, asteroids & Mars. Senior Machine Learning / Computer Vision Engineer