AI Engineer
Il y a 13 heures
Flemish Brabant, Flanders, Belgique
Mantis Robotics
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pbPleasanton / United States or Leuven / Belgium
· AI Perception
· Full-time /b /p /brh3About Mantis Robotics /h3 /brpMantis Robotics builds systems that work safely alongside people, to make robotic automation accessible to anyone. Safety is only as good as the perception behind it: that's where you come in. /p /brh3The role /h3 /brpYou'll push the science behind how our robots see and understand the humans around them: perception, sensor fusion, and learning-based methods that turn raw sensor data into safe, real-time decisions. This is applied research with a direct line to shipped products. /p /brh3What you'll do /h3 /brul /brliDesign and train models for human detection, pose/motion estimation, and proximity awareness in dynamic industrial scenes. /li /brliDevelop sensor-fusion pipelines across different type of sensors. /li /brliGet models running in real time on constrained/edge hardware: accuracy that survives contact with the factory floor. /li /brliPartner with control, firmware, and safety teams to fold perception into the safety architecture. /li /brliPrototype fast, evaluate rigorously, and set the standard for how we measure perception performance. /li /br /ul /brh3What skills are needed? /h3 /brul /brliStrong foundations in machine learning and computer vision (detection, segmentation, tracking, 3D perception, point clouds). /li /brliFluency in Python and deep-learning frameworks (PyTorch and/or TensorFlow). /li /brliSensor fusion and probabilistic estimation (Kalman/particle filters, multi-sensor calibration). /li /brliReal-time and edge inference: quantization, optimization, and deployment on embedded/GPU targets. /li /brliClear scientific communication and a rigorous, data-driven mindset. /li /br /ul /brh3Which experience is needed? /h3 /brul /brliMS or PhD in Computer Science, Robotics, EE, Applied Math, or a related field — or equivalent industry track record. /li /brliDemonstrated experience building perception or ML systems that made it into real products or robots. /li /brliBonus: publications in top ML/CV/robotics venues, experience with safety-critical or industrial systems, or work with human-motion prediction. /li /br /ul /brh3Why join Mantis? /h3 /brul /brliWork on perception where the stakes are real: your models keep people safe. /li /brliCommitted team with a short path from idea to deployment. /li /brliContribute to the future of the entire robotics industry. /li /br /ul
· AI Perception
· Full-time /b /p /brh3About Mantis Robotics /h3 /brpMantis Robotics builds systems that work safely alongside people, to make robotic automation accessible to anyone. Safety is only as good as the perception behind it: that's where you come in. /p /brh3The role /h3 /brpYou'll push the science behind how our robots see and understand the humans around them: perception, sensor fusion, and learning-based methods that turn raw sensor data into safe, real-time decisions. This is applied research with a direct line to shipped products. /p /brh3What you'll do /h3 /brul /brliDesign and train models for human detection, pose/motion estimation, and proximity awareness in dynamic industrial scenes. /li /brliDevelop sensor-fusion pipelines across different type of sensors. /li /brliGet models running in real time on constrained/edge hardware: accuracy that survives contact with the factory floor. /li /brliPartner with control, firmware, and safety teams to fold perception into the safety architecture. /li /brliPrototype fast, evaluate rigorously, and set the standard for how we measure perception performance. /li /br /ul /brh3What skills are needed? /h3 /brul /brliStrong foundations in machine learning and computer vision (detection, segmentation, tracking, 3D perception, point clouds). /li /brliFluency in Python and deep-learning frameworks (PyTorch and/or TensorFlow). /li /brliSensor fusion and probabilistic estimation (Kalman/particle filters, multi-sensor calibration). /li /brliReal-time and edge inference: quantization, optimization, and deployment on embedded/GPU targets. /li /brliClear scientific communication and a rigorous, data-driven mindset. /li /br /ul /brh3Which experience is needed? /h3 /brul /brliMS or PhD in Computer Science, Robotics, EE, Applied Math, or a related field — or equivalent industry track record. /li /brliDemonstrated experience building perception or ML systems that made it into real products or robots. /li /brliBonus: publications in top ML/CV/robotics venues, experience with safety-critical or industrial systems, or work with human-motion prediction. /li /br /ul /brh3Why join Mantis? /h3 /brul /brliWork on perception where the stakes are real: your models keep people safe. /li /brliCommitted team with a short path from idea to deployment. /li /brliContribute to the future of the entire robotics industry. /li /br /ul